{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dc452f1e",
   "metadata": {},
   "source": [
    "### Setup\n",
    "Imports core libs (async, I/O, dates) plus `cognee`, `praw` (Reddit), and `feedparser`.  \n",
    "Loads secrets from `.env` to configure APIs and runtime.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "39df8c45",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 🔐 Environment Variables Setup\n",
    "\n",
    "# TAVILY_API_KEY=your_tavily_api_key_here\n",
    "# LLM_API_KEY=your_llm_api_key_here\n",
    "# REDDIT_CLIENT_ID=your_reddit_client_id_here\n",
    "# REDDIT_CLIENT_SECRET=your_reddit_client_secret_here\n",
    "# REDDIT_USER_AGENT=your_app_name_or_username"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cf5cf9ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T10:07:10.600631\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mDeleted old log file: /Users/lstromann/projects/blogs/stay_on_top_of_news/.venv/lib/python3.11/site-packages/logs/2025-10-30_17-44-33.log\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:07:10.977474\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mLogging initialized           \u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m \u001b[36mcognee_version\u001b[0m=\u001b[35m0.3.7\u001b[0m \u001b[36mdatabase_path\u001b[0m=\u001b[35m/Users/lstromann/projects/blogs/stay_on_top_of_news/.venv/lib/python3.11/site-packages/cognee/.cognee_system/databases\u001b[0m \u001b[36mgraph_database_name\u001b[0m=\u001b[35m\u001b[0m \u001b[36mos_info\u001b[0m=\u001b[35m'Darwin 24.6.0 (Darwin Kernel Version 24.6.0: Mon Jul 14 11:30:40 PDT 2025; root:xnu-11417.140.69~1/RELEASE_ARM64_T8132)'\u001b[0m \u001b[36mpython_version\u001b[0m=\u001b[35m3.11.13\u001b[0m \u001b[36mrelational_config\u001b[0m=\u001b[35mcognee_db\u001b[0m \u001b[36mstructlog_version\u001b[0m=\u001b[35m25.5.0\u001b[0m \u001b[36mvector_config\u001b[0m=\u001b[35mlancedb\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:07:10.977865\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mDatabase storage: /Users/lstromann/projects/blogs/stay_on_top_of_news/.venv/lib/python3.11/site-packages/cognee/.cognee_system/databases\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import all necessary libraries\n",
    "import asyncio\n",
    "import os\n",
    "import cognee\n",
    "import praw\n",
    "import tempfile\n",
    "import feedparser\n",
    "from openai import OpenAI\n",
    "from openai import AsyncOpenAI\n",
    "import os\n",
    "\n",
    "from datetime import datetime, timedelta\n",
    "from dotenv import load_dotenv\n",
    "from pathlib import Path\n",
    "\n",
    "# Load environment variables from .env file\n",
    "load_dotenv()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e58e7f3e",
   "metadata": {},
   "source": [
    "### Clean Slate\n",
    "Wipes previously stored documents, nodes, and relationships. Only use this when you want a fresh/ cleaned memory\n",
    "Clears system-level caches/metadata (indexes, config history) to ensure a fresh run.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a55c585b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data pruned.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T10:07:11.772042\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mLoaded JSON extension         \u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:07:11.840284\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mDeleted Kuzu database files at /Users/lstromann/projects/blogs/stay_on_top_of_news/.venv/lib/python3.11/site-packages/cognee/.cognee_system/databases/cognee_graph_kuzu\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:07:14.475365\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mDatabase deleted successfully.\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[1mStorage manager absolute path: /Users/lstromann/projects/blogs/stay_on_top_of_news/.venv/lib/python3.11/site-packages/cognee/.cognee_cache\u001b[0m\n",
      "\n",
      "\u001b[1mDeleting cache...             \u001b[0m\n",
      "\n",
      "\u001b[1m✓ Cache deleted successfully! \u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Metadata pruned.\n"
     ]
    }
   ],
   "source": [
    "if True:\n",
    "    # delete stored data (documents, nodes, relationships)\n",
    "    await cognee.prune.prune_data()\n",
    "    print(\"Data pruned.\")\n",
    "\n",
    "    # clear system-level caches and metadata (indexes, config history, etc.)\n",
    "    await cognee.prune.prune_system(metadata=True)\n",
    "    print(\"Metadata pruned.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eda97239",
   "metadata": {},
   "source": [
    "## Initialize Cognee & Define Catchiness Functions\n",
    "After pruning, we need to reinitialize cognee's infrastructure before using LLM functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6c85564",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "aca77d42",
   "metadata": {},
   "source": [
    "### Ingest Reddit\n",
    "Initializes Reddit API via PRAW using env credentials.  \n",
    "Fetches latest posts from selected subreddits, writes them to temp files.  \n",
    "Adds those files to Cognee for ingestion, then removes the temp files.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67ab06d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reddit API initialized.\n",
      "Fetching posts from r/OpenAI...\n",
      "  ✓ Fetched and saved posts from r/OpenAI\n",
      "Fetching posts from r/LocalLLaMA...\n",
      "  ✓ Fetched and saved posts from r/LocalLLaMA\n",
      "Fetching posts from r/AIMemory...\n",
      "  ✓ Fetched and saved posts from r/AIMemory\n",
      "Fetching posts from r/ollama...\n",
      "  ✓ Fetched and saved posts from r/ollama\n",
      "Fetching posts from r/LLMDevs...\n",
      "  ✓ Fetched and saved posts from r/LLMDevs\n",
      "Fetching posts from r/Rag...\n",
      "  ✓ Fetched and saved posts from r/Rag\n",
      "Fetching posts from r/datascience...\n",
      "  ✓ Fetched and saved posts from r/datascience\n",
      "Fetching posts from r/ArtificialInteligence...\n",
      "  ✓ Fetched and saved posts from r/ArtificialInteligence\n",
      "Fetching posts from r/deepLearning...\n",
      "  ✓ Fetched and saved posts from r/deepLearning\n",
      "Fetching posts from r/AI_Agents...\n",
      "  ✓ Fetched and saved posts from r/AI_Agents\n",
      "Fetching posts from r/ChatGPT...\n",
      "  ✓ Fetched and saved posts from r/ChatGPT\n",
      "User 0a9b8f79-660c-46f3-8854-ee5e64648d87 has registered.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T10:10:38.335886\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
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      "\u001b[2m2025-11-04T10:10:38.513808\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
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      "\u001b[2m2025-11-04T10:10:38.695522\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "\u001b[2m2025-11-04T10:10:41.637560\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
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      "\n",
      "\u001b[2m2025-11-04T10:10:41.998241\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
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      "\n",
      "\u001b[2m2025-11-04T10:10:42.365781\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:42.545714\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:42.723729\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:42.909670\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:43.093329\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:43.265377\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:43.446294\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:43.623285\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:43.798150\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:43.978823\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.159102\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.427199\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mRegistered loader: pypdf_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.427578\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mRegistered loader: text_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.427819\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mRegistered loader: image_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.427991\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mRegistered loader: audio_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.428173\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mRegistered loader: unstructured_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.428395\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mRegistered loader: advanced_pdf_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.428748\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mRegistered loader: beautiful_soup_loader\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.infrastructure.loaders.LoaderEngine\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.464809\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.654035\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:44.839752\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:45.015567\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:45.190980\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:45.369347\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:45.584612\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:45.760595\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:45.953075\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:46.160670\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:46.335378\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:46.588025\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:46.768787\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:46.938905\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:47.114808\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:47.347318\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:47.526472\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:47.703548\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:47.928541\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:48.104054\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:48.289287\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:48.470827\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:48.658717\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:48.831193\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:49.086652\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:49.257628\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:49.429489\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:49.618894\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:49.797225\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:49.969971\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:50.226738\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:50.404212\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:10:50.573188\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✓ Reddit posts added to cognee\n"
     ]
    }
   ],
   "source": [
    "if True:\n",
    "    #########################################################\n",
    "    # Add reddit data to cognee pipeline\n",
    "    #########################################################\n",
    "\n",
    "    # --- Initialize Reddit API ---\n",
    "    reddit = praw.Reddit(\n",
    "        client_id=os.getenv(\"REDDIT_CLIENT_ID\"),\n",
    "        client_secret=os.getenv(\"REDDIT_CLIENT_SECRET\"),\n",
    "        user_agent=os.getenv(\"REDDIT_USER_AGENT\", \"stay_on_top_of_news/1.0\")\n",
    "    )\n",
    "\n",
    "    print(\"Reddit API initialized.\")\n",
    "\n",
    "\n",
    "    async def get_reddit_posts(subreddit_name, limit=25):\n",
    "        \"\"\"Fetch recent posts from a subreddit\"\"\"\n",
    "        posts_text = []\n",
    "        subreddit = reddit.subreddit(subreddit_name)\n",
    "        \n",
    "        for post in subreddit.new(limit=limit):\n",
    "            # Evaluate catchiness using LLM (3 lines)            \n",
    "            content = post.selftext if post.selftext else '[Link post - no text content]'\n",
    "            prompt = f\"Rate this news catchiness (1-10). Catchiness = controversial + attention-capturing + timeless + major breakthrough.\\n\\nTitle: {post.title}\\nSummary: {content[:500]}\\n\\nReturn ONLY integer 1-10.\"\n",
    "            \n",
    "            client = AsyncOpenAI(api_key=os.getenv(\"LLM_API_KEY\"), timeout=5.0)\n",
    "            resp = await client.chat.completions.create(model=\"gpt-4o-mini\", messages=[{\"role\": \"user\", \"content\": prompt}], max_tokens=5)\n",
    "            score = int(resp.choices[0].message.content.strip())\n",
    "                        \n",
    "            post_content = f\"\"\"\n",
    "                            Title: {post.title}\n",
    "                            Subreddit: r/{subreddit_name}\n",
    "                            Author: u/{post.author.name if post.author else '[deleted]'}\n",
    "                            Score: {post.score}\n",
    "                            Created: {datetime.fromtimestamp(post.created_utc)}\n",
    "                            URL: {post.url}\n",
    "                            Catchiness Score: {score}/10\n",
    "\n",
    "                            Content:\n",
    "                            {content}\n",
    "\n",
    "                            ---\n",
    "                            \"\"\"\n",
    "            posts_text.append(post_content)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "        return \"\\n\".join(posts_text)\n",
    "\n",
    "\n",
    "    # Create temporary files for each subreddit's posts and define subreddits\n",
    "    subreddits = [\n",
    "        # \"MachineLearning\",\n",
    "        \"OpenAI\",\n",
    "        # \"artificial\",\n",
    "        # \"LocalLLaMA\",\n",
    "        # \"AIMemory\",\n",
    "        # \"GraphRAG\",\n",
    "        # \"ollama\",\n",
    "        # \"LLMDevs\",\n",
    "        # \"Rag\",\n",
    "        # \"datascience\",\n",
    "        # \"ai\",\n",
    "        # \"ArtificialInteligence\", \n",
    "        # \"deepLearning\",\n",
    "        # \"AI_Agents\",\n",
    "        # \"ChatGPT\",\n",
    "        # \"Singularity\",\n",
    "        # \"StableDiffusion\",\n",
    "        # \"Midjourney\",\n",
    "        # \"generative\",\n",
    "        # \"aipromptprogramming\",\n",
    "        # \"aiart\"\n",
    "    ]\n",
    "    temp_files = []\n",
    "\n",
    "    for sub in subreddits:\n",
    "        try:\n",
    "            print(f\"Fetching posts from r/{sub}...\")\n",
    "            posts_content = await get_reddit_posts(sub, limit=25)\n",
    "            \n",
    "            # Create a temporary file with the posts\n",
    "            temp_file = tempfile.NamedTemporaryFile(\n",
    "                mode='w', \n",
    "                suffix=f'_{sub}_posts.txt',\n",
    "                delete=False,\n",
    "                encoding='utf-8'\n",
    "            )\n",
    "            temp_file.write(posts_content)\n",
    "            temp_file.close()\n",
    "            temp_files.append(temp_file.name)\n",
    "            print(f\"  ✓ Fetched and saved posts from r/{sub}\")\n",
    "        except Exception as e:\n",
    "            print(f\"  ⚠️  Error fetching r/{sub}: {type(e).__name__} - {str(e)}\")\n",
    "            print(f\"  → Skipping subreddit and continuing...\")\n",
    "\n",
    "\n",
    "    # --- Add Reddit posts to cognee ---\n",
    "    await cognee.add(temp_files)\n",
    "    print(\"✓ Reddit posts added to cognee\")\n",
    "\n",
    "    # Clean up temporary files\n",
    "    for temp_file in temp_files:\n",
    "        try:\n",
    "            Path(temp_file).unlink()\n",
    "        except:\n",
    "            pass\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8d418f3",
   "metadata": {},
   "source": [
    "### Ingest RSS News\n",
    "Defines a small set of AI/tech RSS feeds.  \n",
    "Parses each feed, formats the latest entries, saves to temp text files.  \n",
    "Adds all parsed feeds to Cognee and cleans up the temp files.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd8fa37a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Parsing 19 RSS feeds...\n",
      "  Parsing https://export.arxiv.org/rss/cs.LG...\n",
      "  ✓ Saved\n",
      "  Parsing https://export.arxiv.org/rss/cs.AI...\n",
      "  ✓ Saved\n",
      "  Parsing https://export.arxiv.org/rss/cs.CL...\n",
      "  ✓ Saved\n",
      "  Parsing https://export.arxiv.org/rss/cs.CV...\n",
      "  ✓ Saved\n",
      "  Parsing https://export.arxiv.org/rss/stat.ML...\n",
      "  ✓ Saved\n",
      "  Parsing https://openai.com/news/rss.xml...\n",
      "  ✓ Saved\n",
      "  Parsing https://deepmind.google/discover/blog/feed.xml...\n",
      "  ⚠️  No entries found\n",
      "  Parsing https://research.ibm.com/blog/rss.xml...\n",
      "  ⚠️  No entries found\n",
      "  Parsing https://blogs.microsoft.com/ai/feed/...\n",
      "  ✓ Saved\n",
      "  Parsing https://ai.meta.com/blog/rss.xml...\n",
      "  ⚠️  No entries found\n",
      "  Parsing https://www.technologyreview.com/feed/...\n",
      "  ✓ Saved\n",
      "  Parsing https://www.therundown.ai/feed...\n",
      "  ⚠️  No entries found\n",
      "  Parsing https://www.theneurondaily.com/feed...\n",
      "  ⚠️  No entries found\n",
      "  Parsing https://www.semiaanalysis.com/feed...\n",
      "  ⚠️  No entries found\n",
      "  Parsing https://www.oneusefulthing.org/feed...\n",
      "  ✓ Saved\n",
      "  Parsing https://techcrunch.com/tag/ai/feed/...\n",
      "  ✓ Saved\n",
      "  Parsing https://www.theverge.com/rss/index.xml...\n",
      "  ✓ Saved\n",
      "  Parsing https://venturebeat.com/category/ai/feed/...\n",
      "  ✓ Saved\n",
      "  Parsing https://www.wired.com/feed/category/ai/latest/rss...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T10:12:23.420609\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  ⚠️  No entries found\n",
      "\n",
      "Adding RSS feeds to cognee...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T10:12:23.600144\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:23.786700\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:23.973809\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:24.188213\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:24.460587\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:24.637826\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:24.814812\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:24.994063\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:25.208132\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:25.479596\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:25.669742\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:25.854872\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:26.046714\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:26.223276\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:26.409343\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:26.590845\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:26.792760\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:26.968637\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:27.145153\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:27.342349\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:27.516063\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:27.694505\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:27.925313\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:28.115062\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:28.291006\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:28.480785\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:28.653904\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:28.830571\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:29.030094\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:29.209876\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:29.386325\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:29.563228\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:29.742977\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:29.959327\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:30.141354\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:30.415425\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:30.584967\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:30.768295\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:30.950265\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:31.131067\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:31.307418\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:31.489272\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:31.679059\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:31.854581\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:32.040335\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:32.219231\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:32.395826\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:32.644587\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:32.821642\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:33.000827\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:33.220312\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:33.392938\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:33.572998\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:33.787211\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:33.977071\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:34.153967\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:34.339146\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:34.516603\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:34.691969\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:34.870289\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:35.048424\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:35.224262\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:35.563262\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:35.737951\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:35.925879\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:36.114739\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:36.294744\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:36.467932\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:36.703594\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `ingest_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:36.941080\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:37.135230\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `07bceca6-6bc6-5dff-9a70-8258990689eb`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✓ RSS feeds added\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#########################################################\n",
    "# News Sources\n",
    "#########################################################\n",
    "\n",
    "# minimal rss list you can extend\n",
    "rss_feeds = [\n",
    "\t# --- Research ---\n",
    "\t\"https://export.arxiv.org/rss/cs.LG\",           # machine learning\n",
    "\t# \"https://export.arxiv.org/rss/cs.AI\",           # artificial intelligence\n",
    "\t# \"https://export.arxiv.org/rss/cs.CL\",           # computation & language\n",
    "\t# \"https://export.arxiv.org/rss/cs.CV\",           # computer vision\n",
    "\t# \"https://export.arxiv.org/rss/stat.ML\",         # statistical ML\n",
    "\t# \"https://export.arxiv.org/rss/eess.IV\",         # image/video systems (vision)\n",
    "\n",
    "\t# --- Major AI labs & research orgs ---\n",
    "\t\"https://openai.com/news/rss.xml\",\n",
    "\t# \"https://ai.googleblog.com/feeds/posts/default?alt=rss\",\n",
    "\t# \"https://deepmind.google/discover/blog/feed.xml\",     # DeepMind\n",
    "\t# \"https://research.ibm.com/blog/rss.xml\",              # IBM Research\n",
    "\t# \"https://blogs.microsoft.com/ai/feed/\",               # Microsoft AI blog\n",
    "\t# \"https://ai.meta.com/blog/rss.xml\",                   # Meta AI\n",
    "\t# \"https://huggingface.co/blog/feed.xml\",               # Hugging Face\n",
    "\n",
    "\t# --- Industry / analysis / newsletters ---\n",
    "\t# \"https://www.technologyreview.com/feed/\",             # MIT Tech Review\n",
    "\t# \"https://www.therundown.ai/feed\",                     # The Rundown AI\n",
    "\t# \"https://www.theneurondaily.com/feed\",                # The Neuron\n",
    "\t# \"https://www.semiaanalysis.com/feed\",                 # SemiAnalysis\n",
    "\t# \"https://www.oneusefulthing.org/feed\",                # Ethan Mollick\n",
    "\t# \"https://importai.substack.com/feed\",                 # Jack Clark’s Import AI\n",
    "\t# \"https://www.lesswrong.com/feed.xml\",                 # AI safety / rationalist posts\n",
    "\t# \"https://alignmentforum.org/feed.xml\",                # alignment research forum\n",
    "\n",
    "\t# --- Tech / product news outlets ---\n",
    "\t# \"https://techcrunch.com/tag/ai/feed/\",\n",
    "\t# \"https://www.theverge.com/rss/index.xml\",\n",
    "\t# \"https://venturebeat.com/category/ai/feed/\",\n",
    "\t# \"https://www.wired.com/feed/category/ai/latest/rss\",  # Wired AI\n",
    "\t# \"https://thenextweb.com/feed/\",                       # The Next Web\n",
    "\t# \"https://spectrum.ieee.org/feed\",                     # IEEE Spectrum (engineering AI)\n",
    "\n",
    "\t# --- Policy, ethics, society ---\n",
    "\t# \"https://hai.stanford.edu/rss.xml\",                   # Stanford HAI\n",
    "\t# \"https://www.brookings.edu/topic/artificial-intelligence/feed/\",  # Brookings AI policy\n",
    "\t# \"https://datainnovation.org/feed/\",                   # Center for Data Innovation\n",
    "\n",
    "\t# --- Optional fun / creative ---\n",
    "\t# \"https://towardsdatascience.com/feed\",                # Medium ML articles\n",
    "\t# \"https://www.kdnuggets.com/feed\",                     # data science & AI\n",
    "]\n",
    "\n",
    "\n",
    "# Parse RSS feeds and save to temp files\n",
    "print(f\"\\nParsing {len(rss_feeds)} RSS feeds...\")\n",
    "rss_temp_files = []\n",
    "\n",
    "for feed_url in rss_feeds:\n",
    "    try:\n",
    "        print(f\"  Parsing {feed_url}...\")\n",
    "        feed = feedparser.parse(feed_url)\n",
    "        \n",
    "        if not feed.entries:\n",
    "            print(f\"  ⚠️  No entries found\")\n",
    "            continue\n",
    "        \n",
    "        # Format feed content\n",
    "        feed_text = [f\"RSS Feed: {feed.feed.get('title', feed_url)}\\n\"]\n",
    "        feed_text.append(\"=\" * 80 + \"\\n\")\n",
    "        \n",
    "        for entry in feed.entries[:10]:  # Get latest 10 entries\n",
    "            # Evaluate catchiness using LLM\n",
    "            title, summary = entry.get('title', 'No title'), entry.get('summary', entry.get('description', 'No summary available'))\n",
    "            prompt = f\"Rate this news catchiness (1-10). Catchiness = controversial + attention-capturing + timeless + major breakthrough.\\n\\nTitle: {title}\\nSummary: {summary[:500]}\\n\\nReturn ONLY integer 1-10.\"\n",
    "            \n",
    "            client = AsyncOpenAI(api_key=os.getenv(\"LLM_API_KEY\"), timeout=5.0)\n",
    "            resp = await client.chat.completions.create(model=\"gpt-4o-mini\", messages=[{\"role\": \"user\", \"content\": prompt}], max_tokens=5)\n",
    "            score = int(resp.choices[0].message.content.strip())\n",
    "            \n",
    "            \n",
    "            feed_text.append(f\"\"\"\n",
    "                Title: {entry.get('title', 'No title')}\n",
    "                Published: {entry.get('published', entry.get('updated', 'N/A'))}\n",
    "                Link: {entry.get('link', 'N/A')}\n",
    "                Catchiness Score: {score}/10\n",
    "\n",
    "                Summary:\n",
    "                {entry.get('summary', entry.get('description', 'No summary available'))}\n",
    "\n",
    "                ---\n",
    "                \"\"\")\n",
    "        \n",
    "        # Save to temp file\n",
    "        temp_file = tempfile.NamedTemporaryFile(\n",
    "            mode='w', suffix='_rss.txt', delete=False, encoding='utf-8'\n",
    "        )\n",
    "        temp_file.write(\"\\n\".join(feed_text))\n",
    "        temp_file.close()\n",
    "        rss_temp_files.append(temp_file.name)\n",
    "        print(f\"  ✓ Saved\")\n",
    "        \n",
    "    except Exception as e:\n",
    "        print(f\"  ✗ Failed: {e}\")\n",
    "\n",
    "# Add RSS feeds to cognee\n",
    "if rss_temp_files:\n",
    "    print(\"\\nAdding RSS feeds to cognee...\")\n",
    "    await cognee.add(rss_temp_files)\n",
    "    print(\"✓ RSS feeds added\")\n",
    "    \n",
    "    # Cleanup\n",
    "    for temp_file in rss_temp_files:\n",
    "        try:\n",
    "            Path(temp_file).unlink()\n",
    "        except:\n",
    "            pass\n",
    "else:\n",
    "    print(\"⚠️  No RSS feeds were parsed\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95f83a8e",
   "metadata": {},
   "source": [
    "### Build & Enhance the Graph\n",
    "`cognify()` extracts entities/relations to build the knowledge graph.  \n",
    "Saves an initial HTML visualization.  \n",
    "`memify()` consolidates memory to strengthen connections.  \n",
    "Saves an enhanced HTML visualization for comparison.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32026b62",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T10:12:37.351050\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mOntology file 'None' not found. No owl ontology will be attached to the graph.\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:37.380988\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:37.551674\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:37.727914\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:37.909601\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:38.110648\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:38.284393\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:38.470340\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:38.646486\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:38.832204\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:39.010771\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:39.232010\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:39.408546\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:39.588106\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:39.774014\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:39.945228\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:40.125189\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:40.308641\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:40.482644\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:40.655474\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:40.834926\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:41.012757\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:41.195959\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:41.376867\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:41.552257\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:41.740102\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:41.941808\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:42.116724\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:42.293128\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:42.460977\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:42.643021\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:42.812008\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:42.984806\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:43.161325\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:43.346074\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:43.524823\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:43.701911\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:43.885363\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:44.062196\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:44.237190\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:44.410322\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:44.593589\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:44.770127\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:44.947829\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:45.128117\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:45.306924\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:45.492439\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:45.685234\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:45.859518\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:46.041683\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:46.220947\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:46.394534\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:46.585700\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:46.761122\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:47.016392\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:47.190870\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:47.369161\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:47.549691\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:47.722456\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:47.905115\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:48.082098\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:48.333454\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:48.575680\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:48.816475\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:49.036048\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:49.277756\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:49.505924\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:49.690632\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:49.894466\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:50.123471\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:50.346339\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:50.548576\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:50.772791\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:51.054858\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:51.300879\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:51.517443\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:51.756427\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:51.981969\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:52.172893\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:52.371200\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:52.574893\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:52.769329\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:52.984441\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:53.184640\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:53.381833\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:53.582896\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:53.776369\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:53.973936\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:54.183884\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:54.387569\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:54.588545\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:54.791015\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:54.978261\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:55.166931\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:55.359830\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:55.549526\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:55.751373\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:55.960950\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:56.168210\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:56.377721\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:12:56.582248\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.395532\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mReconnecting to Kuzu database...\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.437222\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mLoaded JSON extension         \u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.474321\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.474855\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mit technology review' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.475163\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'financial times' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.475536\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.475865\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the state of ai: is china about to win the race?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.476168\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.476421\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.476681\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'topic' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.476938\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'generative ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.477182\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'global power' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.477413\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the download: gene-edited babies, and cleaning up copper' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.477648\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'publication' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.477864\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the download (newsletter)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.478112\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gene-edited babies' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.478359\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'copper industry' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.478596\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'this startup wants to clean up the copper industry' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.478842\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'company' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.479096\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'still bright' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.479343\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'here’s the latest company planning for gene-edited babies' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.479598\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'preventive' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.479814\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the download: down the mandela effect rabbit hole, and the promise of a vaccine for colds' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.480056\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mandela effect' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.480299\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cold vaccine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.480540\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'here’s why we don’t have a cold vaccine. yet.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.480763\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the download: introducing the new conspiracy age' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.481022\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'conspiracy theories' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.481257\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'leveraging the clinician’s expertise with agentic ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.481529\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentic ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.481774\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'four thoughts from bill gates on climate tech' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.482008\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.482231\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'bill gates' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.482495\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'it’s never been easier to be a conspiracy theorist' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.482744\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-31' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:01.482981\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-30' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:03.039559\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:16.612993\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:18.104130\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:18.297191\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:18.483358\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:18.689858\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:18.873950\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.060517\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.238339\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.434412\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.435296\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'a conversation with kevin scott: what’s next in ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.436024\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'from hot wheels to handling content: how brands are using microsoft ai to be more productive and imaginative' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.436750\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'microsoft open sources its ‘farm of the future’ toolkit' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.437431\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how data and ai will transform contact centres for financial services' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.437964\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai-equipped drones study dolphins on the edge of extinction' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.438487\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'online math tutoring service uses ai to help boost students’ skills and confidence' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.438980\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai-mimi is building inclusive tv experiences for deaf and hard of hearing user in japan' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.439463\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'microsoft’s framework for building ai systems responsibly' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.439917\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'singapore develops asia’s first ai-based mobile app for shark and ray fin identification to combat illegal wildlife trade' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.440380\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the opportunity at home – can ai drive innovation in personal assistant devices and sign language?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.440831\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.441289\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the ai blog' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.441738\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'webpage' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.442168\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://blogs.microsoft.com/ai/a-conversation-with-kevin-scott-whats-next-in-ai/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.442583\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://blogs.microsoft.com/ai/from-hot-wheels-to-handling-content-how-brands-are-using-microsoft-ai-to-be-more-productive-and-imaginative/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.443019\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://blogs.microsoft.com/ai/microsoft-open-sources-its-farm-of-the-future-toolkit/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.443350\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://cloudblogs.microsoft.com/industry-blog/en-gb/financial-services/2022/07/25/how-data-and-ai-will-transform-contact-centres-for-financial-services/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.443621\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://news.microsoft.com/apac/features/ai-drones-dolphins-maui63/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.443897\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://blogs.microsoft.com/ai/eedi-online-math-quiz/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.444152\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://blogs.microsoft.com/accessibility/ai-mimi-is-building-inclusive-tv-experiences-for-deaf-and-hard-of-hearing-user-in-japan/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.444408\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://blogs.microsoft.com/on-the-issues/2022/06/21/microsofts-framework-for-building-ai-systems-responsibly/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.444810\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://news.microsoft.com/en-sg/2022/06/08/singapore-develops-asias-first-ai-based-mobile-app-for-shark-and-ray-fin-identification-to-combat-illegal-wildlife-trade/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.445118\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://blogs.microsoft.com/accessibility/the-opportunity-at-home-can-ai-drive-innovation-in-personal-assistant-devices-and-sign-language/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.445433\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.445804\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-12-06' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.446158\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-10-12' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.446498\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-10-06' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.446835\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-07-25' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.447218\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-07-21' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.447465\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-07-13' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.447841\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-07-06' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.448180\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-06-21' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.448471\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-06-08' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:19.448794\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2022-05-31' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:21.217729\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.903327\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'publication' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.904809\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the verge' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.905337\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.905855\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.906328\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.906771\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i tested 30 smart locks, and these are the best' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.907226\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.907617\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to i tested 30 smart locks, and these are the best' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.908033\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'topic' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.908434\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'smart locks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.908837\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'no, chatgpt hasnt added a ban on giving legal and health advice' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.909471\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to no, chatgpt hasnt added a ban on giving legal and health advice' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.910254\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt policy rumor' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.910954\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ios 26.1 lets you tweak liquid glass, and its out now' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.911573\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to ios 26.1 lets you tweak liquid glass, and its out now' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.912141\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ios 26.1 update' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.912578\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'here are the best airpods deals you can get right now' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.913083\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to here are the best airpods deals you can get right now' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.913538\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'airpods deals' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.914002\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the best ipad deals you can get right now' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.914480\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to the best ipad deals you can get right now' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.914908\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ipad deals' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.915275\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '‘eyes-off driving’ is coming, and we’re so not ready' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.915670\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to ‘eyes-off driving’ is coming, and we’re so not ready' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.916163\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'eyes-off driving' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.916536\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'apple brings its app store to the web' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.916973\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to apple brings its app store to the web' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.917382\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'app store web' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.917713\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i tested a bunch of gaming laptops and these are the best' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.918011\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to i tested a bunch of gaming laptops and these are the best' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.918296\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gaming laptops' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.918612\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'alleged u penn hacker claims they’re in it for money, not ‘primarily anti-dei’' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.918987\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to alleged u penn hacker claims they’re in it for money, not ‘primarily anti-dei’' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.919329\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u penn hacker data sale' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.919786\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google’s tv streamer (4k) is down to its best price to date ahead of black friday' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.920156\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link to google’s tv streamer (4k) is down to its best price to date ahead of black friday' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:22.920464\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google tv streamer 4k deal' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:25.099438\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.308787\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.309468\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/datascience' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.309932\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.310441\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anyone find one of these in their candy?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.310814\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.311223\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/electrikmetriks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.311534\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.311810\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.312175\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.312558\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://i.redd.it/n0k8j8qoy2yf1.png' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.312946\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'opinion: ai will not replace ds. but it will eat your tasks. prepare your skill sets for the future.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.313356\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/summerelectrical3642' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.313674\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/datascience/comments/1on8llk/opinion_ai_will_not_replace_ds_but_it_will_eat/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.313942\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.314404\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai will not replace data scientists' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.314762\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai will automate data science glue work' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.315067\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'future-proof skills for ds' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.315386\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'weekly entering & transitioning - thread 03 nov, 2025 - 10 nov, 2025' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.315659\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/automoderator' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.315959\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/datascience/comments/1on34xg/weekly_entering_transitioning_thread_03_nov_2025/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.316244\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'career transition resources' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.316535\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how would you turn a working jupyter pipeline into a small web app?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.316893\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/proof_wrap_2150' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.317212\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-02' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.317497\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'jupyter pipeline to web app' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.317743\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'is it too early to accept an internship offer?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.318076\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/lilparkbutt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.318441\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'credit risk analyst internship decision' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.318772\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'schwab api usage from aws' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.319084\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/amazing_alarm6130' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.319331\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'schwab api from aws' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.319638\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'given my bad luck(where l was born, opportunities), do l still standout as an applied ai engineer? am l like anthropic/google level good?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.319913\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/takuonline' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.320151\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://takuonline.com' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.320389\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'has anyones company successfully implemented what is being described as acp or an ai mesh?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.320641\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/warchampion90' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.320917\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai mesh / acp' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.321194\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://devnavigator.com/2025/11/01/how-ai-agents-communicate-the-core-protocols-that-enable-collaboration/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.321493\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'monetary value of remote work' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.321897\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/fit-employee-4393' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.322138\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'remote work monetary value' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.322405\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what are some key issues with data science undergrad degrees?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.323032\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/fenrirbatdorf' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.323332\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what are some key issues with data science?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.323620\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-31' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.323922\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/puzzleheaded_text780' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.324224\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'home insurance claims recovery modelling experience (subrogation)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.324518\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'claims_recovery_subrogation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.324796\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/safe_hope_4617' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.325042\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'my notebook workflow' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.325397\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'notebook_workflow' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.325660\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the evolution of ai: from assistants to enterprise agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.325928\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'from data to value: the architecture of ai impact' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.326216\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai_agents_prioritization' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.326483\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/top_ice4631' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.326755\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how to train a llm as a poor guy?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.327047\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llm_fine_tuning_low_resource' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.327348\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/nervousvictory1792' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.327602\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'thoughts regarding levelling up as a data scientists' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.327906\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'career_skills_leveling_up' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.328174\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'data science managers and leaders - how are you prioritizing the insane number of requests for ai agents?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.328421\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/lamp_shade_head' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.328724\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'so what do yall think of the amazon layoffs?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.329018\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'amazon_layoffs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.329248\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/leagueprototype' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.329520\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how i would land faang ds in 2025' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.329790\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'faang_ds_hiring' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.330070\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/arugulaimpossible134' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.330329\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'light read on the environmental footprint of data centers' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.330634\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'environmental_footprint_data_centers' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.330958\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'statistics bloglight read thoughts?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.331166\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'statistics_blog' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.331447\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/thro0away12' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.331780\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'burning out because nothing takes as short as the time im expected to complete tasks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.332026\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'data_engineer_workflow' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.332605\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'user (speaker)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.332876\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'boss' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.333144\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.333404\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'my team' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.333687\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'other qa team' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.333949\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'datasets' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.334155\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'issue' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.334409\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'upstream source data changes' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.334671\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'random bugs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.334894\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'no standard qa process' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.335160\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'standard qa process (concept)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.335385\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'qa scripts (daily automated checks)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.335732\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'documentation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.335948\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'documentation time: 1-2 days per project' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.336202\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'jira documentation time: 30-60 minutes' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.336428\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tool' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.336651\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'jira' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.336935\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meetings' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.337192\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'multiple concurrent projects' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.337444\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'eating and sleeping disrupted' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.337681\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'job search barrier: economy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.337962\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'community' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.338172\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/datascience' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.338470\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'onlinepost' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.338698\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'bank of america: ai is powering growth, but not killing jobs (yet)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.338969\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'your feedback got my resource list added to the official \"awesome-datascience\" repo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.339281\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how to get hired in usa?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.339489\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/cryoschema' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.339728\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/deepanalyze' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.339958\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/due-duty961' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.340207\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'repository' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.340455\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'awesome data science (github repo)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:26.340682\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-28' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:27.966988\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.972506\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.974455\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llms can now talk to each other without using words' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.975124\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'a more humane system prompt can reduce hallucinations' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.975724\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'instead of having democracy or monarchies' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.976371\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'why does every single ai think that heart attack is the exact same thing as cardiac arrest' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.976943\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'would you give up free anonymous speech to preserve free speech and democracy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.977367\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'when open source isnt really open' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.977915\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'will ai make working optional as elon keeps predicting' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.978300\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sharing knowledge with ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.978721\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai isn t replacing creativity its amplifying it' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.979084\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.979622\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/artificialinteligence' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.980060\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.980502\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.980955\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.981422\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/metaknowing' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.981806\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/lokatookyo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.982210\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/frenchbriefs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.982631\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/dogbold' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.982966\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/rollingwithpandas' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.983295\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/accomplished_day972' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.983594\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/nani_from_clura_ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.983936\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/good-replacement9863' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.984367\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/zeemayazai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.984660\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.984987\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arxiv:2510.03215 cache-to-cache c2c' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.985309\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.985653\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'kv-cache' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.985959\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cache-to-cache c2c' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.986225\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'system_prompt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.986615\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hallucinations' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.986859\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai_governance' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.987136\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'heart_attack_vs_cardiac_arrest' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.987390\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anonymous_speech_and_democracy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.987656\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open_source_ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.987915\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'work_optional_and_technology_adoption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.988224\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai_amplifying_creativity' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.988978\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.989482\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mercor ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.989766\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.990029\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'forbes article: mercor youngest self-made billionaires' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.990359\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'series c $350m' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.990684\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mercor ai founders (three)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.991007\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mercor ai - what the actual hell is going on?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.991348\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/spacecaptain4068' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.991661\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'codex minsoo — section xvi.3: the post-systemic threshold' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.991923\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/ignisiason' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.992201\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'codex minsoo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.992453\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'whats actually going on with ai?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.992760\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/oeilgauchedefectueux' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.993203\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'when the ai bubble pops...' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.993443\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/both-move-8418' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.993684\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'im confused about ai taking over' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.994016\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/mortaladam1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.994299\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tried one of those ai baby generators… kinda blew my mind' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.994636\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/gauravioli' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.994999\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'seefuturebaby.com' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.995313\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'grok’s bad rudi was able to order things off of alexa plus' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.995606\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/longjumping-expert20' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.995912\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'grok' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.996196\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rudi (agent)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.996550\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'alexa plus' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.996836\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'amazon' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.997083\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the visceral reaction to suggestions of ai sentience is hilarious' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.997342\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/kaggleqrdl' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.997609\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'closing the enterprise ai trust gap' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.997891\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/elatrades' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.998214\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'enterprise ai trust gap' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.998508\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'wsjs confused about ai implications.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.998896\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/angleaccomplished865' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.999193\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.999417\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai future and societal impact' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.999649\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai investment bubble' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:29.999875\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai takeover risk' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.000147\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai baby generator' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.000752\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the ai revolution will bring prosperity' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.001039\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai really is coming for the jobs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.001305\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt isnt smart. its something much weirder' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.001624\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/procrastin8_ball' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.001898\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.002182\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'admission of uncertainty' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.002455\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hallucinations as creativity' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.002682\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'document' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.002909\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'youtube interview 5ckuiuc5cjm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.003210\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'has ai ever turned sentient on you?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.003496\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/otherwise-pop-1311' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.003837\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sentience' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.004099\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt ignoring behavior' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.004370\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the wombat collection - ai court cases and rulings' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.004633\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/apprehensive_sky1950' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.004882\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai court cases and rulings' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.005167\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the ethics of using derivative intelligence (a.k.a ai)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.005450\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/omsome' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.005749\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'amplification without wisdom' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.006012\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai as instrument of scale' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.006412\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'are the ai glasses programmable yet?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.006721\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open ai.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.006969\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/soggygrayduck' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.007212\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/wolverinesouth2227' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.007521\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'technology' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.007725\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai glasses' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.007967\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nvidia jetson' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.008236\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'camera' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.008456\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'portable battery' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.008723\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'animal' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.008977\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.009242\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.009515\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'major companies' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:30.657289\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.015426\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.015927\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catarena: evaluation of llm agents through iterative tournament competitions' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.016288\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'platform' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.016626\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catarena' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.016908\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'inverse knowledge search over verifiable reasoning: synthesizing a scientific encyclopedia from a long chains-of-thought knowledge base' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.017085\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'knowledgebase' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.017294\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'long chain-of-thought knowledge base' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.017550\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sciencepedia' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.017714\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'searchengine' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.017906\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'brainstorm search engine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.018140\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'synthesizer' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.018360\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'plato synthesizer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.018586\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agent' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.018806\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'socratic agent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.018995\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the denario project: deep knowledge ai agents for scientific discovery' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.019222\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'system' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.019419\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'denario' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.019605\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tool' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.019794\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cmbagent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.019941\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'repository' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.020133\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'denario github repository' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.020378\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cognition envelopes for bounded ai reasoning in autonomous uas operations' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.020913\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.021128\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cognition envelopes' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.021351\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sustainable platform: seamless smart farming integration towards agronomy automation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.021579\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sustainable platform' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.021800\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'causal masking on spatial data: an information-theoretic case for learning spatial datasets with unimodal language models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.022004\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'causal masking' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.022206\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'domain' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.022415\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chess' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.022565\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'e1: learning adaptive control of reasoning effort' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.022735\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'method' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.022954\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adaptive effort control' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.023147\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adaptive data flywheel: applying mape control loops to ai agent improvement' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.023381\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adaptive data flywheel' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.023519\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nvinfo ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.023669\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nvidia nemo microservices' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.023798\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'combigraph-vis: a curated multimodal olympiad benchmark for discrete mathematical reasoning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.023931\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'benchmark' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.024057\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'combigraph-vis' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.024185\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'matharena' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.024352\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'glia: a human-inspired ai for automated systems design and optimization' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.024563\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'glia' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.024715\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.024844\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:31.314916\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:32.189239\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:32.360150\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:32.544725\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:32.732947\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:32.913949\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:33.144282\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:33.335214\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:33.607358\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:33.824235\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:34.017878\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:34.198592\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:34.381407\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:34.564490\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:34.738151\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:34.912745\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:35.182797\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.614621\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.616225\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gradient boosted mixed models: flexible joint estimation of mean and variance components for clustered data' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.616635\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.617096\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00217' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.617548\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'a streaming sparse cholesky method for derivative-informed gaussian process surrogates within digital twin applications' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.617900\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00366' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.618395\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'accuracy estimation of neural networks by extreme value theory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.618857\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00490' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.619245\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'socrates: simulation optimization with correlated replicas and adaptive trajectory evaluations' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.619586\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00685' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.619985\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'perturbations in the orthogonal complement subspace for efficient out-of-distribution detection' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.620343\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00849' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.620671\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'binary perceptron computational gap -- a parametric fl rdt view' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.621058\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.01037' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.621403\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'generalized guarantees for variational inference in the presence of even and elliptical symmetry' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.621742\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.01064' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.622027\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hyper hawkes processes: interpretable models of marked temporal point processes' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.622284\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.01096' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.622580\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'few-shot multimodal medical imaging: a theoretical framework' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.622910\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.01140' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.623243\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'an interdisciplinary and cross-task review on missing data imputation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.623614\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.01196' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.623898\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.624221\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.624488\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.624752\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gradient boosted mixed models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.625096\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nonparametric estimation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.625375\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'random effects' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.625680\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'uncertainty quantification' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.625998\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sparse gaussian process' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.626252\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'derivative data' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.626522\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'digital twin' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.626808\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'extreme value theory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.627140\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'generalized pareto distribution' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.627504\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'socrates' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.627834\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'large language models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.628184\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'p-ocs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.628479\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'orthogonal complement subspace' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.628732\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'asymmetric binary perceptron' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.629072\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'fully lifted random duality theory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.629314\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'variational inference' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.629652\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'even and elliptical symmetry' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.629890\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hyper hawkes process' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.630218\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'few-shot learning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.630457\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'multimodal integration' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.630796\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'missing data imputation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.631089\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'federated learning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:40.981425\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.249414\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.464234\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.464834\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'generative human motion mimicking through feature extraction in denoising diffusion settings' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.465250\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deep learning models for coral bleaching classification' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.465631\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'automating coral reef fish family identification' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.466026\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mutual information guided visual contrastive learning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.466402\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'benchmarking federated learning frameworks for medical imaging deployment' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.466713\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'enhancing rice leaf images: an overview of image denoising techniques' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.467037\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'which lidar scanning pattern is better for roadside perception' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.467359\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'world simulation with video foundation models for physical ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.467686\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'habitat and land cover change detection in alpine protected areas' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.468010\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lemica: lexicographic minimax path caching for efficient diffusion-based video generation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.468341\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.468666\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.468911\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'category' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.469214\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arxiv cs.cv' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.469477\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'method' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.469743\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'motion capture' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.470110\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'denoising diffusion' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.470436\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'motion inpainting' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.470774\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'motion style transfer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.471088\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'yolov8' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.471404\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'resnet' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.471695\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vision transformer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.472045\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'convolutional neural network' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.472270\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'infonce' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.472562\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mutual information based augmentation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.472817\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.473096\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'federated learning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.473378\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.473639\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nvidia flare' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.473999\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'flower' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.474265\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'owkin substra' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.474507\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dataset' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.474719\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pathmnist' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.474973\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'clahe' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.475251\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'carla' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.475560\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'infralidars benchmark' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.475790\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lemica' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.476037\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cosmos-predict2.5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.476299\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cosmos-transfer2.5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.476574\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nvidia open model license' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.476878\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'changevit' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.477129\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'prithvi-eo-2.0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.477414\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'clay v1.0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.477712\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u-net' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.514497\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.681505\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:42.853722\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:43.024234\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:43.203354\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:43.379100\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:43.562919\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.534686\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.535289\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/chatgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.535745\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.536114\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/left-astronaut6273' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.536485\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.536881\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai is ‘that guy’?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.537242\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.537627\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://i.redd.it/h7lrl7nqs7zf1.jpeg' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.537933\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/metaknowing' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.538288\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llms can now talk to each other without using words' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.538658\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.539002\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/pdf/2510.03215' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.539357\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/kreva117' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.539686\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'asked it to make picture of me on valium' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.540068\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://i.redd.it/2i4gnn23s7zf1.jpeg' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.540433\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/owltiger2057' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.540753\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the amazon risk for openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.541046\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/chatgpt/comments/1oo3jtu/the_amazon_risk_for_openai/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.541359\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.541677\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.541976\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'amazon aws' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.542276\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/vinayaksodar' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.542530\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'idiot' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.542748\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://i.redd.it/7jhou69cr7zf1.png' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.542996\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/delicious_one_7887' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.543317\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how do i stop this??' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.543558\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/chatgpt/comments/1oo3h68/how_do_i_stop_this/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.543858\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://preview.redd.it/feuog2gzq7zf1.png?width=914&format=png&auto=webp&s=b808179431589f836a9da105e49e831e0f0d8061' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.544112\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://preview.redd.it/9bjq5vmzq7zf1.png?width=972&format=png&auto=webp&s=ea1c38ca98555b746a13f0d597ac46d216f79cb5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.544453\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/several-lavishness-2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.544783\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'does it feel like custom instructions apply less these days?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.545048\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'topic' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.545344\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'custom instructions behavior' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.545701\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/longjumping_jaguar34' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.546013\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'resuming a chatgpt conversion on a new chat' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.546336\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chat continuity problem' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.546627\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/o-m-g_embarrassing' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.546932\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt is a glorified google search.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.547240\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/p0lar0id' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.547528\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '1950s tokyo as imaged by seedream' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.547815\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.548081\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'seedream' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.548390\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/soggy-coach6221' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.548619\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'use me' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.548880\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/prabhakar_atla' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.549193\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt go is free in india......' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.549419\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://i.redd.it/ru50e9png7zf1.png' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.549790\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.550024\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt go' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.550331\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'location' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.550609\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'india' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.550918\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/mortalwolf007' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.551148\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chat gpt knows my city and then it tried to hide the fact' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.551413\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/aggressive-arm-1182' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.551726\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'auraos beta v.1 - created by chatgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.551952\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'auraos' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.552218\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://github.com/adultswimmer/auraos/blob/main/startup_prompt.txt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.552456\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://auraos.readthedocs.io/en/latest/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.552698\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.552956\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.553557\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.553869\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'auraos: portable memory & continuity framework (v1.1)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.554135\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'document' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.554409\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aiprompt.txt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.554717\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'history.txt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.554944\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anthony' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.555223\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the pond' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.555494\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the cabin cycle' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.555737\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'session example 2025-11-04 21:33:14 adt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.555953\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'why sometimes chatgpt look like its lost.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.556180\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'til chatgpt cant call you attractive?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.556425\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'is this real?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.556664\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai offering 12 months of chatgpt go free for users in india: steps to redeem and important note' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.556966\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'okay chatgpt i appreciate it' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.557216\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'native tts artifacts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.557484\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/misterfeathersmith' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.557766\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/beautiful-homework47' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.558027\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/michaelsteel2008' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.558246\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/techolum' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.558486\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/power_ranger_1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.558741\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/yo_so' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.559133\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gone and lost science (gls) mode post' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.560243\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/same_succotash530' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.560516\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mode' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.560726\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gls (gone and lost science) mode' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.560960\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'levi gld' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.561241\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'layered filter' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.561451\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rationality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.561712\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'resonance' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.561955\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'morality' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.562115\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'stabilize and navigate extreme cognitive states' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.562361\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gldgltgtd' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.562588\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'trip master' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.562832\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ketamine mode' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.563066\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'request' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.563287\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'visual diagram offer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.563515\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score 0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:44.563792\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness 6/10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:45.120587\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:46.490426\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:48.818788\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:50.331326\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:50.517570\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:50.700077\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:50.878826\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:51.086267\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:51.275309\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:51.467945\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:52.341042\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:53.595667\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:53.773057\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:53.959722\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.144173\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.324533\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.500088\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.687129\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.889119\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.889617\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/deeplearning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.889984\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/learnmachinelearning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.890382\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.890724\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/expert-ad4336' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.891101\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.891379\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sell my car fast | car buyer comparison' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.891701\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sale your car | car buyer comparison' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.892063\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sell my car today | car buyer comparison' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.892378\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'website' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.892698\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'car buyer comparison' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.893039\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/cultural_argument_19' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.893346\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how to handle “none of the above” class in cnn rock classification?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.893675\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/ronlaz123' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.893993\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deep dive into the model context protocol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.894272\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'workshop' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.894596\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model context protocol workshop' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.894891\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model context protocol eventbrite' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.895127\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/faheemresource-9752' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.895347\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'wheres the best place to rent a gpu for model training' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.895623\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hardware' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.895951\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rtx 4090' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.896233\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/propofollower_324' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.896506\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how can a clinician start learning ml/ai? looking at options' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.896793\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/suchzombie3617' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.897134\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'testing the limits of ai guidance: an opensource experiment on what amateurs can actually build and research effectively' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.897431\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rrg314' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.897674\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'algorithm' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.897948\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'recursive division tree (rdt)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.898243\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.898528\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rdt-feistel' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.898772\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rdt-kernel' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.899078\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'entropy-rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.899429\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'topological-adam' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.899741\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rdt-noise' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.899990\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'github rrg314 url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.900265\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.900522\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.901109\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'repository' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.901436\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'steven reid' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.901687\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'framework' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.901968\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rdt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.902307\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'benchmark' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.902553\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arc-agi benchmarks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.902839\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'file' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.903080\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arc_results.csv' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.903318\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arc_benchmark.png' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.903635\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '11852cab.json' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.903879\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adam' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.904151\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'topologicaladam' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.904426\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adam+rdt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.904683\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'topologicaladam+rdt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.904934\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'problem' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.905265\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'wave equation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.905570\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'experiment' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.905771\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'schrödinger pinn training' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.905962\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'podcast' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.906220\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'weaviate podcast #130' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.906410\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'technique' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.906629\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'refrag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.906902\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'xiaoqiang lin' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.907142\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.907394\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meta' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.907669\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'national university of singapore' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.907956\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/kaggle' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.908226\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google colab pro free for student' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.908503\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'where you guys preprocess or train your model' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.908781\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cnn model training bottleneck' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.908992\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'efficient llms: how active is this research area today?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.909231\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.909497\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hierarchical reasoning models (arxiv:2506.21734)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.909757\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tiny recursive models (arxiv:2510.04871v1)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.910001\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'perplexity ai pro - 1-year plan - limited time super promo! 90% off!' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.910273\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'getting low accuracy and i cant really get it better.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.910545\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'refrag with xiaoqiang lin - weaviate podcast #130!' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.910791\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.911272\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'all instance segmentation with dinov3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.911528\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'comparing deep learning models via estimating performance statistics' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.911781\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the power of batch normalization (batchnorm1d) — how it stabilizes and speeds up training 🔥' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.912044\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'has anyone used moonshots muon for any serious/casual work?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.912295\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'advice' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.912595\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '[seeking mentor] intermediate ml/dl student looking for high-level guidance to build portfolio-worthy projects.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.912805\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the 1 billion token challenge: finding the perfect pre-training mix' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.913070\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'retrieval augmented generation tutorials & courses in 2025' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.913315\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dark psychology for personal power!' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.913568\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/a_grwl' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.913832\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/backgroundpension875' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.914072\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/disciplemarc' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.914335\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/noback4291' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.914599\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/ok_introduction160' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.914897\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/_09anant' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.915138\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/asankhs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.915383\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/silverconsistent9222' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.915627\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/zaidkhuroo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.915843\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.916079\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '/r/computervision/comments/1on4kri/all_instance_segmentation_with_dinov3/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.916301\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '/r/askstatistics/comments/1ondi3l/comparing_deep_learning_models_via_estimating/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.916547\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://i.redd.it/sqo9ixpzt1zf1.jpeg' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.916773\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/deeplearning/comments/1onblg2/has_anyone_used_moonshots_muon_for_any/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.917042\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/deeplearning/comments/1on9rsr/advice/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.917279\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/deeplearning/comments/1on635z/seeking_mentor_intermediate_mldl_student_looking/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.917564\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://huggingface.co/blog/codelion/optimal-dataset-mixing' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.917776\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.mltut.com/retrieval-augmented-generation-tutorials/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.918018\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://youtube.com/shorts/8ichhe_piyq?si=urjz9qzpf16hfna2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.918312\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'number' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.918539\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score_1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.918739\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score_4' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.918953\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score_0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.919196\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score_3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.919426\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness_4_10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.919623\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness_3_10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:54.919827\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness_6_10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.644544\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.645033\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vrscout: towards real-time, autonomous testing of virtual reality games' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.645454\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'method' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.645823\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'action chunking transformer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.646190\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.646477\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dynamically adjustable sliding horizon' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.646797\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'domain' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.647086\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vr' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.647369\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'feature-guided sae steering for refusal-rate control using contrasting prompts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.647647\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sparse autoencoder (sae)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.647948\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'contrasting prompts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.648205\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.648480\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama-3 8b' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.648745\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dataset' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.648987\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openhermes-2p5-mistral-7b' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.649268\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'air bench eu-dataset' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.649574\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'probing knowledge holes in unlearned llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.649844\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'machine unlearning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.650069\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'knowledge holes' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.650366\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'test case generation framework' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.650631\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'from uniform to adaptive: general skip-block mechanisms for efficient pde neural operators' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.650852\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'skip-block routing (sbr)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.651120\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'neural operators' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.651400\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'neural architecture search for global multi-step forecasting of energy production time series' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.651806\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'neural architecture search (nas)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.652054\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'energy production time series' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.652332\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'semi-supervised preference optimization with limited feedback' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.652591\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sspo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.652878\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ultrafeedback' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.653157\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama3-8b-instruct' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.653372\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'physics-informed neural network frameworks for the analysis of engineering and biological dynamical systems governed by ordinary differential equations' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.653667\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'physics-informed neural networks (pinns)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.653959\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ordinary differential equations (odes)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.654207\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'relax-net: reusing layers for parameter-efficient physical neural networks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.654469\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'relax-net' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.654724\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'physical neural networks (pnn)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.654976\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dynberg: dynamic bert-based graph neural network for financial fraud detection' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.655235\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dynberg' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.655487\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'graph-bert' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.655779\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gru' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.656019\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'elliptic dataset' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.656316\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'financial fraud detection' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.656537\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adaptive spatio-temporal graphs with self-supervised pretraining for multi-horizon weather forecasting' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.656790\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adaptive spatio-temporal graphs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.657048\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'self-supervised pretraining' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.657333\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'era5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.657547\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'merra-2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.657842\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.658047\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.748795\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.749115\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llms can now talk to each other without using words' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.749335\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'document' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.749587\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arxiv:2510.03215' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.749834\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.750198\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'metaknowing' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.750487\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anyone tried alternatives to askgpt app?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.750747\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'beakybird711' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.751273\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chrome search history & chat gpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.751670\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dangerous_quail_7441' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.752166\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai offering 12 months of chatgpt go free for users in india' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.752492\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'techolum' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.752698\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.753032\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.753302\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.753557\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt go' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.753775\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'typeform survey ygspkajn' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.754000\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'token spend retries community survey' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.754220\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'late-operation-8690' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.754376\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'two horror shorts from sora the men under bed text from with in' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.754562\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'suitable-essay7682' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.754757\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai go subscription stuck on approve payment' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.754953\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mad_max711' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.755114\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'where did deep research go from the ui?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.755331\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lostwhispers05' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.755513\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.755715\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deep research' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.755897\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.756105\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'help i cant access my chatgpt!' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.756312\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'puzzleheaded_long_76' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.756515\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt not accessible' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.756706\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ewakz' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.756867\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'unable to subscribe to go' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.757050\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'significanceupper977' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.757231\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt go for free in india' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.757425\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mr-akshay' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.757611\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i asked copilot how would you compare the ai race to game of thrones' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.757752\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'bladesvchaos' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.757885\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google deepmind' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.758045\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'microsoft' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.758210\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'apple' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.758397\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'xai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.758590\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meta' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.758773\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'copilot' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.758926\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'grok' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.759042\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.759162\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.759360\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.759516\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.759644\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.760181\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'amazon' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.760338\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aws' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.760553\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.760765\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sora 2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.760962\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'service' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.761096\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'azure openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.761245\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'is chatgpt now putting ads in images it generates?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.761431\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/earthling_aprill' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.761622\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.761802\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/openai/comments/1onrjrl/is_chatgpt_now_putting_ads_in_images_it_generates/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.761983\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'topic' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.762151\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ads in generated images' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.762335\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the japanese anime studios dont have a case' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.762471\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/regular_bowl2453' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.762613\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04_post' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.762794\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anime artstyle copyright debate' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.762952\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai and amazon sign landmark agreement to reshape the cloud computing land' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.763131\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/happymagtv' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.763313\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://happymag.tv/openai-amazon-cloud/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.763489\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'event' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.763669\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai amazon $38 billion deal' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.763859\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai loses $11.5b last quarter....' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.764037\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/just_lingonberry_352' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.764212\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.764421\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai financial loss $11.5b' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.764612\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '[sora 2] lepo-lepo heavy metal' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.764763\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/beautiful_crab6670' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.764896\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sora 2 music generation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.765027\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i made this medieval rap music video using sora 2s character mode this evening. :)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.765236\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/top_bee_6136' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.765409\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.youtube.com/watch?v=xrx-f6e1pey' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.765601\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'make me prettier' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.765801\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/master0fmuppets' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.765979\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what happened to gpt-5’s context window?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.766159\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/goofball-john-mcgee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.766339\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-5 context window issues' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.766468\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what is the best alternative to chatgpt ?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.766610\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/aggressive-coffee365' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.766741\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'alternatives to chatgpt voice to text' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.766871\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'azure openai photorealistic minors access' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.767017\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'azure access request post' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.767142\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/unwanted_9385749' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.767285\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://aka.ms/oai/cuaaccess' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.767449\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/computer-use?tabs=python#request-access' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.767694\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'my invitation to thanksgiving from my mother' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.767932\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/gosuruss' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.768101\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai replacing routine tasks and universal basic income discussion' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.768335\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lmao the problem with ai is that is doing everything but the routine tasks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:55.768481\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/neat_tangelo5339' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:56.870241\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:57.835881\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:58.066066\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:14:59.806031\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.125402\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.126066\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'venturebeat' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.126366\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.126689\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'strengthening our core welcoming karyne levy as venturebeats new managing editor' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.126958\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.127320\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'karyne levy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.127636\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'techcrunch' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.127908\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'protocol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.128167\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nerdwallet' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.128463\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'business insider' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.128708\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cnet' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.128950\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'carl franzen' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.129197\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.129500\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.129731\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the beginning of the end of the transformer era neuro symbolic ai startup aui announces new funding at 750m valuation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.130013\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'augmented intelligence inc' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.130258\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.130462\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'apollo-1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.130723\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ohad elhelo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.130975\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ori cohen' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.131217\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'egateway ventures' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.131465\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'new era capital partners' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.131706\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'joshua boger' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.131979\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aron ain' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.132256\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'jim whitehurst' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.132522\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chris varelas' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.132784\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'redwood capital' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.133045\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google cloud' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.133290\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.133569\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'transformer architecture' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.133796\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'neuro symbolic ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.134004\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'symbolic reasoning engine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.134250\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.134467\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'funding' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.134693\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aui bridge safe round 20m at 750m valuation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.134953\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aui previous round 10m at 350m valuation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.135187\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meet denario the ai research assistant that is already getting its own papers published' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.135424\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'denario' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.135610\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'astropilot-ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.135818\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'publication' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.136031\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arxiv 2510.26887' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.136305\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'event' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.136468\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agents4science 2025' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.136682\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'denarioapp' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.136925\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'license' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.137168\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpl-3.0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.137352\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'component' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.137518\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'idea module' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.137729\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'idea maker' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.137964\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'idea hater' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.138145\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'literature module' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.138391\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'methodology module' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.138560\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'analysis module' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.138781\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper module' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.138964\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'review module' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.139540\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'company' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.139740\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.139926\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.140117\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gemma' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.140375\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gemma 3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.140524\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gemma 270m' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.140682\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'platform' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.140846\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai studio' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.141048\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'api' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.141294\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'marsha blackburn' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.141446\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'newsfromgoogle' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.141616\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.141850\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.142001\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-4o' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.142152\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sam altman' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.142357\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'developer_test_models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.142546\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model_hallucination' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.142704\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'defamation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.142873\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model_removal' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.143063\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project_continuity' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.143283\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'moving past speculation: how deterministic cpus deliver predictable ai performance' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.143518\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-02' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.143728\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'thang tran' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.143911\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'simplex micro' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.144069\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deterministic_time_based_execution_model' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.144282\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'speculative_execution' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.144473\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'time_counter' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.144661\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'register_scoreboard' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.144868\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'time_resource_matrix' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.145126\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vector_coprocessor' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.145280\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gemm_units' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.145472\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'risc-v' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.145664\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai_ml_workloads' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.145824\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'patent' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.146022\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'us11829187b2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.146211\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'us12112172b2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.146401\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'us12001848b2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.146714\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'large reasoning models almost certainly can think' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.146869\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-01' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.147050\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'debasish ray chawdhuri' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.147273\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'apple' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.147515\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the illusion of thinking' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.147701\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'large reasoning models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.147858\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chain-of-thought' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.148008\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deepseek-r1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.148229\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tower of hanoi' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.148375\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'working memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.148535\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pattern-matching' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.148678\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'backtracking search' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.148827\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'prefrontal cortex' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.148979\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'parietal cortex' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.149170\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hippocampus' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.149365\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'temporal lobe' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.149548\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anterior cingulate cortex' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.149695\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'default mode network' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.149835\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aphantasia' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.149976\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'talentica software' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.150118\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'iit bombay' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.150253\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'inside celosphere 2025: why theres no enterprise ai without process intelligence' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.150382\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-31' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.150570\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'celonis' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.150735\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'celosphere 2025' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.150897\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'process intelligence' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.151057\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'celonis process intelligence pi platform' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.151198\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'celonis orchestration engine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.151349\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'free the process' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.151492\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'alex rinke' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.151637\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'forrester total economic impact study' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.151772\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gartner' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.151990\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mercedes-benz group ag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.152155\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vinmar group' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.152378\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'astrazeneca' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.152520\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'state of oklahoma' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.152729\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cosentino' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.152873\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'smurfit westrock' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.153024\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'asos' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.153182\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the hackett group' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.153333\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'clearops' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.153499\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lobster' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.153867\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'why it leaders should pay attention to canva’s ‘imagination era’ strategy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.154045\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-30' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.154239\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'canva' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.154436\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cameron adams' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.154584\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'creative operating system cos' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.154706\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ask canva' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.154838\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'canva grow' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.154973\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'affinity' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.155124\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'leonardo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.155313\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anthropic' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.155497\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'walmart' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.155627\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'disney' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.155781\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'virgin voyages' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.155957\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pinterest' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.156125\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'fedex' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.156274\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'expedia' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.156421\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'exp realty' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.156568\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'docusign' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.156776\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adobe express' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.156960\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'figma' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.157147\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'microsoft designer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.157305\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'visme' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.157448\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'piktochart' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.157598\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meta researchers open the llm black box to repair flawed ai reasoning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.157748\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'technique' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.158022\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'circuit based reasoning verification crv' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.158189\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meta fair' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.158399\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'university of edinburgh' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.158626\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'transcoders' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.158852\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'attribution graph' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.159043\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'structural fingerprint' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.159207\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'diagnostic classifier' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.159431\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama 3.1 8b' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.159591\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dataset' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.159832\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gsm8k' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.160047\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arithmetic dataset' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.160280\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'boolean dataset' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.160519\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vibe coding platform cursor releases first in house llm composer promising 4x speed boost' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.160722\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-29' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.160941\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anysphere' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.161165\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cursor' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.161333\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'composer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.161484\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cursor bench' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.161642\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vibe coding' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.161789\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentic workflows' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.162153\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sasha rush' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.162380\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cheetah' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.162570\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cursor 2.0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.162716\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'feature' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.162997\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'in-editor browser' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.163158\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'improved code review' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.163359\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sandboxed terminals' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.163549\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'voice mode' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.163722\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'reinforcement learning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.163863\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mixture-of-experts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.164015\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'technology' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.164159\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pytorch' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.164306\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ray' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.164462\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mxfp8 moe kernels' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.164600\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'infrastructure' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.164737\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hybrid sharded data parallelism' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.164890\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nvidia gpus' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.165044\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'background agents infrastructure' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.165205\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'language server protocols' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.165435\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'multi-agent interface' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.165619\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'git worktrees' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.165787\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sandboxed environments' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.166032\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'metric' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.166207\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '250 tokens per second' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.166379\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'benchmarkcategory' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.166543\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'best open' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.166718\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'qwen coder' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.166898\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'glm 4.6' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.167115\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'fast frontier' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.167273\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'haiku 4.5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.167420\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gemini flash 2.5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.167572\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'frontier 7/2025' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.167698\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'best frontier' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.167838\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.168229\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'claude sonnet 4.5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.168418\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pricingplan' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.168660\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'free (hobby)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.168799\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ultra' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.168993\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pro+' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.169203\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'teams' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.169346\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'enterprise offering' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.169520\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'real software engineering tasks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.169657\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'production tools' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.169819\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'emergent behaviors' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.300464\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.300798\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open-webui not showing any models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.301089\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.301334\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/statsom' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.301602\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.301798\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.302012\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.302253\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.302461\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.302670\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open-webui not showing any models (url)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.302862\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'software' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.303021\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.303229\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open-webui' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.303427\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'docker' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.303877\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'linux mint' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.304876\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i built a small python tool to track how your directories get messy (and clean again)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.305277\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/vegetablesense' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.305667\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'python' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.306117\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'claudette mini - 1.0.0 for quantized models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.306538\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/dense_gate_5193' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.306976\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.307531\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'claudette mini' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.307990\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'first langflow flow official release - elephant v1.0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.308420\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/loserllm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.308976\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langflow' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.309374\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'elephant v1.0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.309757\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'we trained slm-powered assistants for personal expenses summaries that you can run locally via ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.310156\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/party-horse' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.310819\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.311578\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'distil-labs/distil-expenses-llama-3.2-3b-instruct' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.312156\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'distil-labs/distil-expenses-llama-3.2-1b-instruct' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.312758\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hugging face' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.313270\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-oss' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.314073\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '¡logré que llama 3 (ollama) use herramientas (function calling) en un flujo no-code con n8n!' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.314495\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/jokiruiz' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.314910\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama3:8b-instruct' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.315434\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'n8n' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.316084\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i createad a next.js text2sql app, how do you like it? :d' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.316372\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/itsaliensbro453' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.316894\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'next.js' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.317346\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'it is possible to use ollama cloud with claude code?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.317737\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/bsampera' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.318434\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'claude' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.318739\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'voice-to-ai app with whisper transcription, ollama ai integration, and tts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.319664\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/crhylove3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.320604\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'whisper' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.321131\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'can i somehow connect the ollama gui to my remote server?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.331512\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/messyextacy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.332631\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ollama no longer uses 780m radeon gpu, now 100% cpu after update models / update ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.333903\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/patach' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.334500\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hardware' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.335026\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'radeon 780m' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.335569\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rocm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.342069\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'docker_image' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.343117\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ollama/ollama:rocm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.343750\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'docker_service' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.344800\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'docker_compose_service_ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.345592\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'driver' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.346327\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'amdgpu driver' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.346996\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'device' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.347459\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '/dev/kfd' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.348068\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '/dev/dri' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.348605\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'compute_device' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.349315\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cpu' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.349729\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'process' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.350228\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'runner_process' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.350948\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'port' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.351558\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'port_11434' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.351796\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'port_39943' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.352016\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'environment_variable' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.352211\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hsa_override_gfx_version' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.352369\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'version' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.352598\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '11.0.2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.352740\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '11.0.3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.352990\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '11.0.0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.353200\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'volume' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.353368\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'volume_root_ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.353582\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'setting' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.353785\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'low_vram_mode' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.354009\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'log' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.354245\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'log_listening_11434' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.354451\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'log_discovering_available_gpus' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.354648\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'log_inference_compute_cpu' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.354884\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'user' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.355182\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.355429\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'whats_the_best_uncensored_model_for_ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.355638\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'keyword' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.355811\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pussy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.356037\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ass' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.356198\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'anal' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.356351\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cum' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.356575\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'fucked' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.356810\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'boobs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.356954\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nipple' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.357124\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'made my first ai agent researcher with python + langchain + ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.357341\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/friendshipcreepy8045' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.357520\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-01' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.357746\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tool' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.357949\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langchain' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.358212\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chromadb' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.358398\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'copilot agent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.358611\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'repository' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.358801\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'localagent github repository' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.359017\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'localagent documentation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.359174\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i.redd.it image hv4kpzlwymyf1.png' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.359368\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what ollama model should i run' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.359557\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/efficient_roll4891' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.359756\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'macbook air m1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.359970\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'specification' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.360121\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '16gb ram' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.409528\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.596896\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.777769\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:01.964198\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:02.141664\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:02.317273\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:02.496347\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:02.694887\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:04.101900\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:04.740276\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:04.909746\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:05.087955\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:05.269303\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:05.444966\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:05.622051\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:05.807425\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:06.386131\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:06.580554\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:06.769013\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:06.949990\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.124685\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.298551\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.505826\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.926053\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.926429\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'plotcraft: pushing the limits of llms for complex and interactive data visualization' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.926656\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'benchmark' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.926893\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'plotcraft benchmark' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.927133\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dataset' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.927343\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'synthvis-30k' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.927604\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.928258\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'plotcraftor' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.928606\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'viseval' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.928882\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pandasplotbench' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.929158\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.929391\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '23 leading llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.929653\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'website' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.930050\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00010' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.930260\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cognitive alignment in personality reasoning: leveraging prototype theory for mbti inference' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.930514\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'method' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.930650\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'protombti' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.930884\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lora fine-tuned encoder' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.931043\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'personality_prototype_library' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.931202\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'kaggle benchmark' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.931466\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pandora benchmark' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.931658\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00115' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.931891\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'parascopes: what do language models activations encode about future text?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.932069\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'residual stream decoders' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.932219\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'future context decodable information (5+ tokens)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.932471\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00180' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.932701\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'training llms beyond next token prediction - filling the mutual information gap' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.932931\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'target token selection strategy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.933107\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mutual_information_gap' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.933314\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00198' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.933508\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'consistently simulating human personas with multi-turn reinforcement learning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.933749\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'metric' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.934103\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'prompt-to-line consistency' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.934304\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'line-to-line consistency' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.934483\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'q&a consistency' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.934641\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'multi-turn reinforcement learning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.934798\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00222' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.935006\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentbnb: a browser-based cybersecurity tabletop exercise with large language model support and retrieval-aligned scaffolding' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.935214\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'system' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.935443\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentbnb' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.935664\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'c2d2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.935869\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00265' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.936079\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'il-pcsr: legal corpus for prior case and statute retrieval' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.936312\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'il-pcr' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.936535\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llm-based re-ranking' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.937355\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00268' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.937543\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'posestitch-slt: linguistically inspired pose-stitching for end-to-end sign language translation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.937753\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'posestitch-slt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.937971\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how2sign' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.938235\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'isign' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.938423\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00270' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.938564\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'language modeling with factorization memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.938812\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'factorization memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.939006\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mamba-2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.939160\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sparse factorization memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.939378\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00315' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.939576\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'reversal invariance in autoregressive language models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.939765\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'reversal_invariance' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.940006\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'temporal asymmetry pretraining' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.940176\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://arxiv.org/abs/2511.00341' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.940324\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.940512\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.965305\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.965652\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/localllama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.965901\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.966167\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.966415\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.966648\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama.cpp vulkan build is being ignored' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.966853\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.967034\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/ahmadxvx15' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.967235\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.967473\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'reddit_post_llamacpp_vulkan_build' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.967661\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'help us benchmark hephaestus on swebench-verified' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.967851\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/standard_excuse7988' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.968049\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'v.redd.it_cal43bywi7zf1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.968247\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.968457\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hephaestus' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.968612\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hephaestus_github' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.968794\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hephaestus_contributor_guide' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.968956\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hephaestus_discord' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.969126\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'you can win one dgx station from dell' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.969634\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/cane_p' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.970310\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dgx_image_h8m5jkpgh7zf1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.970793\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llm judges penalize balanced reasoning study post' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.971291\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/budget-reception-533' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.971803\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'reddit_post_llm_judges_penalize' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.972277\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'researchstudy' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.972758\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'balance penalty study' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.973345\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zenodo_balance_penalty' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.973761\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'trolley_clean_github' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.974371\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'memory might be the real missing piece for ai agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.974824\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/virtualeducator8243' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.975266\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'getalchemystai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.975750\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open source alternative to notebooklm perplexity' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.976303\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/uiqueblhats' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.976803\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'surfsense' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.977270\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'surfsense_github' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.977777\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'why dont cerebras add more models like glm minimax' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.978319\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/datascientia' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.978962\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpu pricing barrier for open-source ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.979524\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/frentro_max' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.980136\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'qwen matching american open model ecosystem' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.980931\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/old-school8916' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.981602\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'qwen_image_zvugibssj6zf1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.982327\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sourcing annotating datasets for vision llama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.983157\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/due_construction5400' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.983827\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'discord server for nvidia dgx spark and clone discussion' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.984523\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/montagekapalua6302' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.985662\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'discord_server_for_nvidia_dgx_spark_and_clone' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.986716\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'link' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.987243\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'discord invite f4vruqnt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.987767\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hardware' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.988378\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'asus ascent gx10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.989088\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how much does the average person value a private llm?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.989417\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/selectladder8758' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.989666\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.989904\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'privacy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.990102\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cloud_services' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.990326\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'local_llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.990495\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'service' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.990667\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gmail' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.990821\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'duckduckgo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.991022\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'have you heard of this?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.991220\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/pieonmyjesutildomine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.991372\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'exo-explore/exo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.991556\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lm_studio_model_for_6700xt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.991778\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/richopinion4766' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.996621\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'asus x399-e' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:07.997732\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'amd threadripper 1950x' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.004370\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '6700xt 12gb' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.012007\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'corsair 3200mhz dual channel' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.012382\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'software' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.012602\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lm studio' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.012794\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.013006\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.013377\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'glm-4.5-air-reap-82b-a12b-limi' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.013644\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/corunethronx' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.013828\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dataset' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.014031\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gair/limi' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.014204\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'repository' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.014379\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gair-nlp/limi' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.014642\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '8xh100' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.014944\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'h100' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.015106\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'h200' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.015310\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'b200' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.015561\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vram_and_unified_memory_question' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.015803\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/nofudge4700' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.016043\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'amd npu' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.016232\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '128gb unified memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.016438\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'external_gpu' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.016648\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'whryte announcement' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.016822\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/mlcode' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.016979\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'whryte' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.017269\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'localgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.018554\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what personalities do you think llm have?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.019063\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/enjoylifeq' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.019842\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ollama_benchmark_script' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.020431\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/appropriate_fox5922' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.021024\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ollama' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.021657\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.022247\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mistral' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.022753\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gemma' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.022993\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ollama cloud' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.023182\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/fun-wolf-2007' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.023336\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deepseek-v3.1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.023510\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-oss:20b-cloud' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.023747\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-oss:120b-cloud' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.023946\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'kimi-k2:1t-cloud' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.024111\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'qwen3-coder:480b-cloud' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.024262\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'glm-4.6' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.024402\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'minimax-m2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.024588\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'introducing the agent development lifecycle (adlc)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.024759\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/planet-pranav' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.024967\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'methodology' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.025114\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agent development lifecycle' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.025274\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agent development flywheel' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.025422\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sdlc' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.025877\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'finetuning on google collab issue stuck on model.save()' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.026107\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/santhoshty' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.026346\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'website' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.026551\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'youtube guide video ptasdvz0gok' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.026754\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'issue' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.026926\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model_save_stuck_error' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.027125\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ipex-llm llama.cpp portable gpu and npu working really well on laptop' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.027317\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/pdmk' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.027457\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tool' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.027632\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ipex-llm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.027831\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama.cpp' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.028081\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'intel core ultra 7 155h' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.028280\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deepseek-r1-distill-qwen-7b-q4_k_m.gguf' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.028447\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llama-3.2-3b-instruct-q6_k.gguf' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.028631\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agent flow' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.028790\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agent flow' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.028947\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/loud_communication68' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.029150\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentflow.stanford.edu' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.029323\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentflow hugging face space' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.029478\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'arthur.ai introducing adlc blog' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.142542\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.342201\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:08.638312\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:09.231061\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:10.495002\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:10.692821\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:10.872041\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:11.050399\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:11.223678\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:11.422688\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:11.599627\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:11.774707\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:12.040543\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:12.515226\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:12.700018\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:12.885302\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:13.070129\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:13.251887\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:13.452470\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:13.624316\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:15.142057\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:16.598941\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:16.772117\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:16.945375\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:17.133859\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:17.306436\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:17.493674\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:17.669679\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.107610\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.109244\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai memory newsletter: context engineering × memory (keep / update / decay / revisit)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.109745\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.110132\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/hande__' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.110525\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.110863\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/aimemory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.111170\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.111481\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.111837\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.112145\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai memory newsletter url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.112408\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'context engineering vs prompt engineering' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.112737\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/far-photo4379' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.113000\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.113280\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'linkedin article url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.113601\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'thread vs. session based short-term memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.113839\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.114112\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'preferred agent memory systems?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.114365\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.114610\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tool' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.114947\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mem0 (openmemory)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.115246\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mcp server' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.115507\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vs code' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.115759\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.116034\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vectors' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.116308\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'graph' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.116587\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'next evolution of agentic memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.116887\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'which industries have already seen a significant ai distruption?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.117089\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-02' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.117402\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what are your favorite lesser-known agents or memory tools?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.117657\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-01' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.117908\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pewdiepie just releaser a video about self-hosting your own llm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.118140\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-31' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.118420\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'youtube pewdiepie self-hosted llm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.118731\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pewdiepie' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.119015\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'a very fresh paper: context engineering 2.0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.119306\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'paper' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.119523\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'context engineering 2.0 (arxiv:2510.26493)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.119800\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'context engineering 2.0 arxiv url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.120075\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag is not memory, and that difference is more important than people think' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.120374\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag discussion url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.120588\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.120835\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how are you guys \"context engineering\"?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.121105\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-30' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.121385\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai memory for agents 🧠 or rather just ai workflows  🔀⚙️🔁🛠️ ?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.121610\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how can you make “ai memory” actually hold up in production?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.121864\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-29' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.122148\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vector space day recording url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.122357\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'event' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.122606\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vector space day (berlin)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.122848\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'building scalable ai memory for agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.123119\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'semantic layer over graphs and vectors' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.123319\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ontologies' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.123601\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agent state & lineage' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.123838\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'composable pipelines' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.124075\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'retrievers' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.124327\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'graph reasoning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.124539\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'time-aware and self improving memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.124743\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open-source python sdk' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.125022\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'docker' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.125218\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 's3 sync' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.125493\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'distributed runs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.125733\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'question' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.125931\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'question of the month: memory policy impact' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.126168\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rememr1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.126425\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pamu' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.126685\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ace' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.126925\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rgmem' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.127209\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dabench' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.127415\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ecphoryrag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.127703\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pisa' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.127904\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'persistent memory + user profiles' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.128522\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'new interactive visualization for our knowledge graphs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.128708\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai memory featuring hallucination detection' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.128936\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'new ways to do memory for ai agents - practical guide' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.129087\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i gave persistent, semantic memory to langgraph agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.129325\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'did i just create a way to permanently by pass buying ai subscriptions?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.129520\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'better memory management in chatgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.129702\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'self-improving memory with memory weights' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.129953\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'representativemap542' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.130213\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'short-honeydew-7000' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.130351\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'reasonable-jump-8539' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.130521\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-28' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.130674\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-20' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.130822\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-19' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.130974\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-16' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.131134\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-14' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.131287\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google drive html visualization' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.131438\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'datadog llm observability blog' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.131599\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'youtube - coala memory video' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.131767\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'github - agentic-memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.131926\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gallery/1oizik4' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.132082\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'software' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.132285\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cognee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.132520\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langgraph' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.132745\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langgraph agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.132969\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'function' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.133165\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'create_react_agent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.133358\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'get_sessionized_cognee_tools' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.133556\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.133720\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.133899\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'datadog llm observability' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.134071\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hallucination_detection' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.134236\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vector db' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.134399\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'knowledge graph' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.134626\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'embeddings' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.134816\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'coala memory types' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.134978\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'file' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.135213\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'team_memory.html' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.135467\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'feedback_loop' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.135650\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'memory_weights' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.135809\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.136104\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chrome_extensions post link' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.136576\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agents stop being shallow with memory and context engineering' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.136754\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-13' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.136966\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/hande__' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.137210\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/aimemory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.137394\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.137588\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agents 2.0: from shallow loops to deep agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.137830\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'phil schmid' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.138008\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deep agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.138168\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'persistent memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.138359\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'technology' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.138504\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vector dbs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.138701\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'context engineering' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.138935\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai memory take from openai agentkit?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.139118\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-08' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.139288\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai agentkit' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.139485\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'responses api' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.139688\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agents sdk sessions' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.139911\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vertex ai memory bank' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.140084\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'azure agent service' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.140234\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'a collaborative memory for chatgpt with custom data types + full ui' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.140391\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-06' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.140542\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/jazzlike_water4911' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.140704\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.140889\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dry' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.141075\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'claude' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.141229\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'stop saying rag is same as memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.141388\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-09-29' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.141543\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/gargetisha' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.141703\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'memory' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.141852\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'company' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.142002\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mem0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.142236\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'letta' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.142437\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zep' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.142585\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ama (9/25) with jeff huber — chroma founder' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.142746\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-09-25' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.142978\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/remoteinspace' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.143125\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.143296\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'jeff huber' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:20.143526\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chroma' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.986703\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.987104\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/ai_agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.987388\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.987737\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'your ai agent demo isnt real. heres what actually happens.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.988052\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how are you evaluating llm agents, especially for multi-round interactions?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.988338\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'should i use exa or clado for my ai sales agent?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.988705\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hiring: commission based remote sales job' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.989048\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what is the closest an ai agent has come to replacing a human for you?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.989298\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'following up- what ai tools have actually worked for your business so far?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.989579\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how do you monitor/understand your ai agent usage?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.989867\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'are voice based ai agents finally becoming practical?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.990098\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'built an ai ecommerce from scratch. already got my first sale' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.990368\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.990615\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/warm-reaction-456' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.990844\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/ppostable_diffusion' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.991084\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/triffixrex' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.991282\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/wise_astronomer9063' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.991513\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/emilyxhug' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.991765\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/far-lengthiness9968' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.991951\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/bohdanpetryshyn' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.992176\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/silvercandyy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.992414\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/daani_maas' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.992636\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.992819\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.993050\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.993236\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.993452\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'demo versus production gap' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.993648\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'legacy systems' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.993801\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tool' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.994092\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'screen scraping' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.994247\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'human in the loop' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.994437\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'data quality and organization' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.994666\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'disorganized data sources' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.994851\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sharepoint' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.995010\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'wiki' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.995232\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'word docs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.995412\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dave' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.995631\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'api and operational costs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.995865\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'define success and scope' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.996116\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'start small' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.996346\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rule based systems' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.996534\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'customer support ticket example' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.996726\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'bank loan approval agent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.996911\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'compliance requirements' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.997063\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llm agent evaluation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.997287\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'multi round interactions' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.997459\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'exa' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.997615\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'clado' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.997757\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'data quality versus volume tradeoff' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.997911\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'commission based sales job' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.998076\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai replacing human tasks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.998277\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'non technical business users' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.998455\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langfuse' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.998609\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llm as judge' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.998805\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'conversation monitoring and analytics' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.998951\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'intervo.ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.999104\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vapi.ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.999256\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai voice mode' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.999489\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pi.ai (inflection)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.999656\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'voice based ai agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:21.999893\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'speech latency and naturalness' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.000157\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'crm and business tool integration' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.000347\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'automated product metadata pipeline' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.000503\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google search api' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.000661\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.000864\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cheap openai models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.001061\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'shopify admin api' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.001591\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'remote mcp store' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.001773\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/stock-basket-4763' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.001922\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'memory might be the real missing piece for ai agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.002077\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/virtualeducator8243' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.002287\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'website' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.002500\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'getalchemystai.com' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.002713\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'getalchemystai chrome extension' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.002909\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'memory (ai agents)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.003063\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vectors' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.003217\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'graph systems' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.003409\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ex-aws engineer - i built a free, local, open-source alternative to v0/lovable/bolt (no lock-in)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.003563\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/gerome24' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.003695\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.003824\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'codinit.dev' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.003960\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'observer now monitors itself' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.004113\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/roy3838' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.004321\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'observer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.004459\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'local llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.004616\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'self-hosting' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.004778\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'making agents proactive' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.004938\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/adpristine9479' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.005091\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'proactiveagent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.005232\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'currently building an ai website where it scans competitor changes for you and looking to add a clustering algo maybe after the mvp faze anyone have any advice and tell me stuff i should or the think will be usefull' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.005384\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/clear-brilliant-9933' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.005586\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'is this useful to you? model: framework for coupled agent dynamics' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.005759\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/salty_country6835' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.005937\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'coupled agent dynamics' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.006078\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'landauer bound' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.006287\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'who has actually deployed code that uses llms in prod?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.006472\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/acquiredbycoffee' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.006654\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag agents: from zero to hero' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.006813\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/capitalshake3085' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.006970\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.007165\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.007329\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'shopify api update script' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.007546\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'categorizer prompt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.007698\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product context from google' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.007857\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'prompt template for titles/descriptions' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.007994\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'platform' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.008155\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'shopify' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.008338\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.008789\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'repository' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.009006\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'end-to-end rag voice assistant repository' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.009240\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'feature' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.009579\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pdf → markdown conversion' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.009919\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hierarchical chunking' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.010212\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hybrid embeddings' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.010712\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vector storage with qdrant' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.011115\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'parallel multi-query handling' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.011552\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'query rewriting' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.011913\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'context management via summarization' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.012208\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentic rag using langgraph' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.012460\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'simple chatbot using gradio' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.012709\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langgraph' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.012970\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'qdrant' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.013124\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gradio' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.013311\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'bhindiai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.013484\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'emergent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.013688\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vibecoding agent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.013820\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'clayai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.013971\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'n8n' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.014117\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zapier' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.014319\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'make' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.014483\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.014623\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agno' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.014761\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'browse ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.014905\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/additional-oven4640' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.015054\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/one-neighborhood4868' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.015336\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/jazzlike-zucchini-39' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.015592\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/better-department662' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.022912\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/art_hur_hup' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.023798\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/kirrttiraj' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.024344\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/ideaaffectionate945' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.024870\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cost-performance method for developing a self-hosted rag-based voice assistant' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.025381\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dropped out 3 weeks ago to run an ai automation company. just designed the system that will replace me.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.028594\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how do i build an automated family hq?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.029275\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'community for data or ops folks building ai agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.029757\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dont use human identities to connect agents to your tools.' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.030180\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ive built 100+ ai agents. heres what everyone gets wrong' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.030570\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'looking for fiverr consultants building ai agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.031243\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'system' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.031656\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'kernel' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.032215\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'automated family hq' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.032758\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai chief of staff' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.033244\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cost-performance method' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.033748\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'self-hosted voice assistant' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.034227\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.034858\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'synchronous api fees' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.035114\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'prompt injection vulnerability' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.035289\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'community slack group for builders' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.035568\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'fiverr consultants building ai agents' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.035709\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.035872\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/ai_agents/comments/1onfgm5/costperformance_method_for_developing_a/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.036044\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/ai_agents/comments/1onfg48/dropped_out_3_weeks_ago_to_run_an_ai_automation/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.036215\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/ai_agents/comments/1onev1n/how_do_i_build_an_automated_family_hq/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.036472\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/ai_agents/comments/1one4zy/community_for_data_or_ops_folks_building_ai_agents/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.036656\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/ai_agents/comments/1ondysm/dont_use_human_identities_to_connect_agents_to/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.036832\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/ai_agents/comments/1ondlo6/ive_built_100_ai_agents_heres_what_everyone_gets/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.037168\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.reddit.com/r/ai_agents/comments/1oncrly/looking_for_fiverr_consultants_building_ai_agents/' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:22.717718\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:23.088144\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:24.209775\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:24.722859\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:25.241746\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:25.433637\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:25.610905\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:25.789238\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:25.960438\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:26.140364\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:26.320259\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:26.806215\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:27.403724\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:27.579580\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:27.751790\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:27.931921\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.110850\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.292228\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.477486\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.983137\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.983608\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.983836\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.984275\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'whats the best format to pass data to an llm for optimal output?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.984702\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.985282\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/royaltitan333' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.986015\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.986386\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-04' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.986657\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.986902\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post url - best format for llm input' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.987117\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'building a small rag benchmark system' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.987343\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/available_witness581' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.987536\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post url - small rag benchmark' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.987741\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how does mem0 work?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.987935\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/paragon-jack' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.988096\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post url - how does mem0 work' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.988303\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag search-based agent in a workspace/ folder structure ?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.988516\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/live_mushroom_9849' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.988721\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post url - rag search-based agent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.988928\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai daily assistant' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.989090\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/dave190911' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.989231\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post url - ai daily assistant' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.989355\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'i built a hybrid retrieval layer that makes vector search the last resort' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.989481\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/old_assumption2188' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.989741\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'valesearch repo url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.989995\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cocoindex just hit 3k stars, thank you!' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.990196\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/whole-assignment6240' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.990415\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cocoindex repo url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.990628\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'best document format for rag chatbot with text, flowcharts, images, tables' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.990815\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/according_net9520' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.991008\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'any downside to having entire document as a chunk?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.991198\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/ayechat' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.991398\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'building a graph-based rag system with multiple heterogeneous data sources — any suggestions on structure & pitfalls?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.991605\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/abject_entrance_8847' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.991747\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'deep dive into langchain tool calling with llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.991866\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/skd_sumit' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.992029\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langchain tool calling tutorial url' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.992168\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'got tired of reinventing the rag wheel for every client, so i built a production-ready boilerplate (next.js 16 + ai sdk 5)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.992358\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/carlosmarcialt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.992550\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.992686\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatrag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.992826\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'valesearch' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.992993\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mem0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.993222\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.993399\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'bm25' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.993554\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dense_retriever' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.993732\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hybrid_retriever' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.993919\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chunking_256_0' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.994150\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chunking_256_64' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.994360\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chunking_384_96' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.994558\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'semantic_chunks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.994775\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rerank' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.994959\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'semantic_caching' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.995147\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'keyword_search' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.995297\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vector_search' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.995429\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pdf' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.995560\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'word' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.995749\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'flowcharts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.995922\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tables' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.996428\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'images' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.996637\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chunk_whole_document' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.996821\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'graph_rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.997043\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'forum_data' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.997228\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'social_media_posts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.997424\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'survey_data' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.997655\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'q&a_data' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.997814\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'tool' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.998022\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langchain' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.998198\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'toolruntime' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.998354\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'toolcallchunks' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.998517\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'next.js 16' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.998743\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai sdk 5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.999239\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.999458\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'carlos marcial' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.999621\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'technology' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.999769\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'provider' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:28.999920\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llamacloud' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.000054\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'platform' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.000238\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'supabase' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.000447\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'company' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.000674\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.000878\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'service' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.001039\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openrouter' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.001226\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'fal' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.001386\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'replicate' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.001589\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'elevenlabs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.001744\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'stripe' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.001911\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'polar' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.002090\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vercel' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.002234\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'hnsw' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.002371\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ivfflat' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.002506\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai embeddings' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.002676\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'protocol' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.002875\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mcp' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.003026\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'integration' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.003150\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zapier' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.004218\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'n8n' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.004460\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'whatsapp' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.004640\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'feature' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.004806\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'three-stage retrieval' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.005012\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'adaptive retrieval system' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.005177\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'document processing' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.005370\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'reasoning model integration' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.005584\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'multi-modal generation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.005784\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'voice integration' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.005950\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'code artifacts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.006091\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'memory feature' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.006263\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'localization' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.006472\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'shareable chat links' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.006655\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'saved chat history' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.006817\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'file storage for media' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.006978\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'use_case' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.007133\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai hobbyists' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.007282\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ai entrepreneurs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.007434\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cloud-first teams' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.007576\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.007716\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-4' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.007853\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'claude' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.008069\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mistral' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.008326\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'example image/video/3d models' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.008519\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://chatrag.ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.008689\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://chatrag-demo.vercel.app' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.008844\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.chatrag.ai/docs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.009004\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://www.youtube.com/watch?v=crulv97hdpi' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.009353\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.009521\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'company knowledge' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.009675\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.009823\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'did company knowledge just kill the need for rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.010038\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'snipet' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.010288\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/present-entry8676' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.010436\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'snipet github' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.010586\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'snipet cloud' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.010739\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llm session persistance' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.010893\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/johnkinell' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.011094\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'localai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.011364\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'session persistence' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.011506\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ultra-fast rag architecture question' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.011688\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/comfortable-race-389' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.011844\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-4.1-mini' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.011991\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai file uploads api' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.012204\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vector store' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.012390\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llamaindex' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.012555\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langgraph' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.012706\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'memgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.012909\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'redis' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.013152\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'after building multiple production rags' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.013326\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/this_is_shivamm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.013476\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentic rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.013625\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'query rewriting' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.013820\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'nurse interview evaluation' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.014054\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/mrgigabyte69' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.014243\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'fine-tuning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.014435\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'full-text search' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.014581\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-02' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.014735\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-01' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:29.242476\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:30.196515\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:30.373812\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:30.558545\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:30.768689\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:30.952321\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:31.140079\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:31.318381\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:32.336715\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:32.534906\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:32.730443\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:32.920174\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:33.128451\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:33.309863\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:33.489266\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:33.758483\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.418680\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'post' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.419130\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how we turned llm tone drift into a control systems problem (and it worked)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.419472\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.419822\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/medium_charity6146' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.420113\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.420418\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'team echomode.io' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.420730\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'software' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.420966\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'echoprotocol' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.421211\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'repository' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.421474\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'echo-mode_repo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.421792\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'metric' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.422100\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'syncscore' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.422391\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.422709\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'ewma repair loop' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.422962\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'finite-state control layer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.423247\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'finite-state machine' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.423474\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mode' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.423690\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sync' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.424027\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'resonance' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.424284\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'insight' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.424556\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'calm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.424800\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'driftscore.ts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.425120\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'levenshtein distance' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.425392\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'echo mode cumulative drift 1.3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.425685\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'default cumulative drift 6.9' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.425951\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'email' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.426218\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'team@echomode.io' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.426479\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how do you monitor/understand your ai agent usage?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.426753\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/bohdanpetryshyn' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.427033\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'lovable-style chat app' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.427317\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'langfuse' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.427566\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'feature' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.427803\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llm-as-judge' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.428096\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'conversation analysis tool (internal)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.428327\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'qwen is roughly matching the entire american open model ecosystem today' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.428555\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/icecubeslicer' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.428843\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.429060\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'qwen' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.429338\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'a genuine dilemma about writing code with ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.429536\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/satyam_98' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.429740\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'andrej karpathy' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.429993\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'microsoft earnings suggest $11.5b+ openai quarterly loss' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.430201\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/igfonts' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.430471\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'microsoft' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.430710\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.430917\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai quarterly loss $11.5b+' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.431178\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'created and updated a simple ocr pipeline' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.431400\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/no-fig-8614' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.431603\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'website' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.431907\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'parasail-ocr-pipeline.azurewebsites.net' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.432197\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'a minimal go framework for talking to llms' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.432447\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/daewishdev' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.432653\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'llm gui vs api - big quality difference' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.432819\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/low_chance_5109' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.432988\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.433213\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'claude' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.433370\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'github marketplace models integration' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.433568\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'what is the cheapest/cheapest to host, most humanlike model, to have conversations with?' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.433774\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/contributionsea1225' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.433930\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'subreddit' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.434204\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/llmdevs' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.434772\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'r/opensourceeai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.434996\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.435192\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.435354\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score 1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.435642\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score 2' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.435838\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score 3' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.436106\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score 5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.436264\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score 6' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.436486\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score 94' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.436740\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness 7/10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.436936\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness 4/10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.437190\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness 2/10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.437362\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness 5/10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.437556\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/walrusok4591' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.437802\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/carlosmarcialt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.437958\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/aggravating_kale7895' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.438142\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/agile_breakfast4261' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.438301\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/alexeestec' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.438510\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/srijsriv211' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.438766\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/mortgagefar8836' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.438940\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/el_geto' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.439139\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/deep_structure2023' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.439294\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/professional_lake682' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.440048\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/hiroshimabg' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.440735\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'u/aphronio' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.441287\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'url' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.441969\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://youtu.be/iwkvihgdo5y' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.442428\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'https://v.redd.it/ii8an5jyy2zf1' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.442949\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'litellm + google adk example link' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.443448\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'has anyone connected an mcp server with adk or a2a? link' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.443972\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mcp tool response filtering demo' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.444533\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'eurollm reddit link' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.445088\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'agentic security prompt injection blog' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.445574\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pdf resource qna with rag link' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.446121\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'open source cursor-like app with own gpus link' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.446608\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chat.glacecore.com' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.447131\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.447632\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'litellm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.448343\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google adk' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.448966\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mcp (model context protocol)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.449325\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'a2a' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.449820\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatrag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.450326\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'eurollm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.450801\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rag' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.451295\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'prompt injection' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.451801\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'graphdb (rdf)' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.452375\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.452856\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cursor ide' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.453569\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sonnet 4.5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.454051\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt 5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.454585\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'grok4 fast' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:36.647285\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:38.349941\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:38.523037\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:38.728466\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:38.903271\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:39.076329\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:39.254272\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:39.481349\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:39.748608\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:43.326954\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:44.797318\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:44.981944\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:45.161343\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:45.364583\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:45.557823\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:45.751035\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:45.948995\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:47.023475\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:48.582631\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:48.759410\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:48.952814\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:49.131993\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:49.434278\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:49.627110\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:49.813037\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:55.597686\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:57.739434\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:57.912273\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:58.091044\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:58.290299\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:58.473871\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:58.656930\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:58.830570\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:59.019954\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:59.191985\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:59.369803\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:59.553004\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:59.734829\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:15:59.912152\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:00.099298\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:00.284401\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:00.467490\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:00.680337\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:00.872741\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:01.069219\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:01.288877\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:01.509959\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:16:01.702038\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.007588\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'website' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.009908\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'one useful thing' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.010442\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.010924\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'an opinionated guide to using ai right now' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.011492\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'real ai agents and real work' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.011890\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'on working with wizards' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.012325\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'mass intelligence' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.012771\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-5: it just does stuff' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.013104\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the bitter lesson versus the garbage can' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.013486\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'against brain damage' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.013837\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'using ai right now: a quick guide' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.014179\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'the recent history of ai in 32 otters' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.014473\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'making ai work: leadership, lab, and crowd' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.014822\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.015212\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-19' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.015553\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-09-29' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.015928\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-09-11' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.016198\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-08-28' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.016563\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-08-07' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.016891\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-07-28' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.017186\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-07-07' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.017557\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-06-23' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.017788\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-06-01' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.018089\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-05-22' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.018400\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'score' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.018687\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness 4/10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.019212\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness 5/10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:15.019560\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'catchiness 6/10' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:16.653697\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:37.311821\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:38.601469\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:38.775508\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:38.953630\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:39.130995\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:39.314057\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:39.491350\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:39.665410\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.971604\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.972369\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'techcrunch' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.972844\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'article' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.973321\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meta has an ai product problem' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.973761\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.974151\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-02' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.974659\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'company' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.975045\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meta' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.975412\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zoom ceo eric yuan says ai will shorten our workweek' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.975772\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-28' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.976073\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zoom' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.976417\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.976744\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'eric yuan' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.977055\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '20-year-old dropouts built ai notetaker turbo ai and grew it to 5 million users' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.977364\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-23' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.977681\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.977962\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'turbo ai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.978221\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'rudy arora' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.978488\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'sarthak dhawan' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.978750\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gm’s under-the-hood overhaul puts ai and automated driving at the center' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.979028\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-22' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.979288\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gm' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.979552\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cadillac escalade iq' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.979844\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'you can now text spotify’s ai dj' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.980150\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-15' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.980517\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'spotify' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.980793\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'spotify ai dj' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.981085\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google’s gemini can now help you schedule google calendar meetings' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.981396\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google updates search and discover with collapsible ads, ai features, and more' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.981694\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-14' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.981941\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.982183\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gemini' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.982399\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google search and discover' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.982651\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'prince harry and meghan call out the harmful effects of social media on today’s youth' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.983218\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-11' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.983436\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'prince harry' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.983657\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'meghan' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.983942\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project healthy minds' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.984161\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zendesk says its new ai agent can solve 80% of support issues' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.984412\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-08' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.984737\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zendesk' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.985036\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'zendesk ai agent' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.985360\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'google launches its ai vibe-coding app opal in 15 more countries' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.985633\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-07' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.985924\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'opal' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.986208\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'country' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.986457\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'canada' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.986757\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'india' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.987081\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'japan' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.987317\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'south korea' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.987593\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'vietnam' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.987836\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'indonesia' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.988120\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'brazil' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.988354\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'singapore' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.988532\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'colombia' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.988755\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'el salvador' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.989051\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'costa rica' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.989256\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'panamá' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.989572\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'honduras' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.989782\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'argentina' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:17:58.990041\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'pakistan' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:00.350527\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.616042\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'organization' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.616758\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.617251\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'document' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.617571\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'introducing indqa' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.617897\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'date' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.618246\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-11-03' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.618588\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'benchmark' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.618926\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'indqa' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.619249\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'event' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.619599\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aws and openai multi-year partnership' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.619863\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aws' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.620229\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aws and openai announce multi-year strategic partnership' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.620546\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'expanding stargate to michigan' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.620824\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-30' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.621075\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'project' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.621372\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'stargate' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.621656\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'location' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.621978\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'michigan' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.622255\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'introducing aardvark' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.622541\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'product' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.622784\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'aardvark' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.623078\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'how we built owl the new architecture behind our chatgpt based browser atlas' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.623407\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'architecture' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.623676\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'owl' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.623937\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'atlas' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.624172\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'introducing gpt-oss-safeguard' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.624412\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'model' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.624611\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-oss-safeguard' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.624892\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-oss-safeguard-120b' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.625180\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-oss-safeguard-20b' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.625383\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-oss' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.625762\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'technical report performance and baseline evaluations of gpt-oss-safeguard-120b and gpt-oss-safeguard-20b' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.625951\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'knowledge preservation powered by chatgpt' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.626218\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for '2025-10-28' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.626583\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'dai nippon printing' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.626873\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'chatgpt enterprise' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.627180\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'doppel s ai defense system stops attacks before they spread' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.627426\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'doppel' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.627713\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'gpt-5' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.628018\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'technique' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.628258\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'reinforcement fine tuning' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.628541\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'built to benefit everyone' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:06.628795\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'openai recapitalization' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:08.699899\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:13.283035\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:14.696055\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:14.866747\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:15.048148\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:15.227734\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:15.401733\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:15.605817\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:15.781958\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:23.196306\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:24.292418\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:24.473942\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:24.649437\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:24.823838\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:25.000817\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:25.177207\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `classify_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:25.368018\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `00001b5f-9b81-527a-a9b3-2db4c99498d6`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Knowledge graph created.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T10:18:25.849581\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mGraph visualization saved as /Users/lstromann/projects/blogs/stay_on_top_of_news/simple_graph_visualization.html\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:25.850844\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mThe HTML file has been stored at path: /Users/lstromann/projects/blogs/stay_on_top_of_news/simple_graph_visualization.html\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:25.906831\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mGraph projection completed: 1879 nodes, 5671 edges in 0.05s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:25.918614\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `c25e5c09-bd36-5606-b721-e872430a823a`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data visualized\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T10:18:26.088883\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_subgraph_chunks`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:18:26.260219\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:19:33.774971\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:19:33.950620\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:20:09.454843\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:20:09.635707\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:21:50.771170\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:21:50.958883\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:23:03.505569\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:23:03.687341\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:24:04.810809\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:24:04.993927\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:25:27.122661\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:25:27.307382\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:26:56.389479\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:26:56.568737\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:28:07.064426\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:28:07.264338\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:29:20.099422\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:29:20.277225\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:30:30.089236\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:30:30.272525\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:32:07.180388\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:32:07.370271\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:33:33.212010\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:33:33.383264\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:34:51.513018\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:34:51.688980\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:35:46.207301\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:35:46.385197\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:37:02.548407\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:37:02.750282\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:38:12.014007\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:38:12.191447\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:39:17.708895\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:39:17.892416\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:40:32.737795\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:40:32.918669\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:41:37.913601\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:41:38.100028\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:42:44.652691\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:42:44.838677\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:43:30.349316\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:43:30.529645\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:45:03.437565\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:45:03.702913\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:45:52.424919\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:45:52.717882\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:47:51.586868\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:47:51.781626\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:49:06.033422\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:49:06.205151\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:50:31.006877\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:50:31.180713\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:52:06.005602\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:52:06.182952\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:53:19.291786\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:53:19.487462\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:54:44.908344\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:54:45.119619\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:55:53.790703\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:55:53.976399\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:56:51.728236\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:56:51.917865\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:58:03.332572\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:58:03.503709\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:59:27.732575\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T10:59:27.920753\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:00:34.552502\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:00:34.735560\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:01:29.318027\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:01:29.508679\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:02:55.950247\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:02:56.127932\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:03:56.360258\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:03:56.539849\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:05:03.457628\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:05:03.634155\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:06:08.993490\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:06:09.175064\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:59:49.177687\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T11:59:49.384793\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:01:08.072663\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:01:08.254440\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:02:17.336500\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:02:17.557610\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:03:01.978864\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:03:02.157296\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:04:04.967628\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:04:05.149746\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:05:09.569054\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:05:09.752326\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:06:00.071086\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:06:00.254208\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:07:06.529038\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:07:06.715619\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:08:27.526918\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task completed: `add_rule_associations`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:08:27.714443\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task completed: `extract_subgraph_chunks`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:08:27.945064\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run completed: `c25e5c09-bd36-5606-b721-e872430a823a`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_with_telemetry()\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:08:28.211635\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mGraph visualization saved as /Users/lstromann/projects/blogs/stay_on_top_of_news/enhanced_graph_visualization.html\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:08:28.213191\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mThe HTML file has been stored at path: /Users/lstromann/projects/blogs/stay_on_top_of_news/enhanced_graph_visualization.html\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Knowledge graph enhanced with memory consolidation.\n",
      "Enhanced graph visualized: /Users/lstromann/projects/blogs/stay_on_top_of_news/enhanced_graph_visualization.html\n"
     ]
    }
   ],
   "source": [
    "# extract knowledge from the scraped data\n",
    "await cognee.cognify()\n",
    "print(\"Knowledge graph created.\")\n",
    "\n",
    "# visualize the knowledge graph\n",
    "simple_graph_visualization_path = str(Path.cwd() / \"simple_graph_visualization.html\")\n",
    "await cognee.visualize_graph(simple_graph_visualization_path)\n",
    "print(f\"Data visualized\")\n",
    "\n",
    "# enhance the knowledge graph with memory consolidation for improved connections\n",
    "await cognee.memify()\n",
    "print(\"Knowledge graph enhanced with memory consolidation.\")\n",
    "\n",
    "# generate the second graph visualization after memory enhancement\n",
    "enhanced_graph_visualization_path = str(Path.cwd() / \"enhanced_graph_visualization.html\")\n",
    "await cognee.visualize_graph(enhanced_graph_visualization_path)\n",
    "print(f\"Enhanced graph visualized: {enhanced_graph_visualization_path}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9dd11a7",
   "metadata": {},
   "source": [
    "### Cross-Document Query\n",
    "Runs a GRAPH_COMPLETION search: *“What were the main events in AI this week?”*  \n",
    "Returns a synthesized answer aggregated across Reddit + RSS sources.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "90da3e31",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[1mUnclosed client session\n",
      "client_session: <aiohttp.client.ClientSession object at 0x13c0392d0>\u001b[0m\n",
      "\n",
      "\u001b[1mUnclosed client session\n",
      "client_session: <aiohttp.client.ClientSession object at 0x13bf7dfd0>\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:08:28.654206\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mGraph projection completed: 2076 nodes, 6069 edges in 0.25s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mCogneeGraph\u001b[0m]\u001b[0m\n",
      "\n",
      "\u001b[2m2025-11-04T12:08:29.789714\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mVector collection retrieval completed: Retrieved distances from 6 collections in 0.89s\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Search results: Brief weekly roundup (from provided context):\n",
      "\n",
      "- Big Reddit conversation about “What’s actually going on with AI?” — users debating whether current investment and progress are hype or truly transformative. \n",
      "- Mercor AI / Forbes story (paper‑billionaire founders) sparked skepticism and threads about startup valuations and dilution. \n",
      "- OpenAI news and disruption: a major promotion — 12 months of ChatGPT Go free in India — plus user reports of access/payment/subscription problems and missing UI features (Deep Research with GPT‑5). \n",
      "- New research/claim: an arXiv paper showing LLMs can “talk to each other without using words” circulated in r/OpenAI. \n",
      "- Safety/behavior incidents and demos: Grok/agent (“Bad Rudi”) reportedly able to bypass Alexa protections and place orders; users sharing surprising consumer AI outputs (e.g., realistic “AI baby” generators). \n",
      "- Ongoing enterprise discussion about the AI trust gap — calls for explainability, oversight, and accountability as barriers to adoption.\n"
     ]
    }
   ],
   "source": [
    "# demonstrate cross-document knowledge retrieval from multiple data sources\n",
    "results = await cognee.search(\n",
    "    query_text=\"What were the main events in the AI world this week?\",\n",
    "    query_type=cognee.SearchType.GRAPH_COMPLETION,\n",
    ")\n",
    "print(f\"Search results: {results[0]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e23a045a",
   "metadata": {},
   "source": [
    "# Stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b099fb36",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[2m2025-11-04T12:08:41.543050\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mGraph visualization saved as /Users/lstromann/projects/blogs/stay_on_top_of_news/fancy_graph_visualization_v2.html\u001b[0m [\u001b[0m\u001b[1m\u001b[34mcognee.shared.logging_utils\u001b[0m]\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== DocumentChunk #1 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: MIT Technology Review\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: The State of AI: Is China about to win the race?\n",
      "            \n",
      "Catchiness match: <re.Match object; span=(385, 407), match='Catchiness Score: 8/10'>\n",
      "Catchiness extracted: 8\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🔵 IDENTIFIED AS OTHER/RSS\n",
      "RSS Feed: MIT Technology Review\n",
      "Flags - Reddit: False, Research: False, Other: True\n",
      "🔵 Base color set to DARK BLUE (Other/RSS)\n",
      "Final color after brightness adjustment (catchiness=8.0): #8e8ecb\n",
      "\n",
      "=== DocumentChunk #2 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: The AI Blog\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: A conversation with Kevin Scott: What’s next in AI\n",
      "                Publ\n",
      "Catchiness match: <re.Match object; span=(358, 380), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🔵 IDENTIFIED AS OTHER/RSS\n",
      "RSS Feed: The AI Blog\n",
      "Flags - Reddit: False, Research: False, Other: True\n",
      "🔵 Base color set to DARK BLUE (Other/RSS)\n",
      "Final color after brightness adjustment (catchiness=5.0): #5959b3\n",
      "\n",
      "=== DocumentChunk #3 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: The Verge\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: I tested 30 smart locks, and these are the best\n",
      "                Published\n",
      "Catchiness match: <re.Match object; span=(321, 343), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🔵 IDENTIFIED AS OTHER/RSS\n",
      "RSS Feed: The Verge\n",
      "Flags - Reddit: False, Research: False, Other: True\n",
      "🔵 Base color set to DARK BLUE (Other/RSS)\n",
      "Final color after brightness adjustment (catchiness=5.0): #5959b3\n",
      "\n",
      "=== DocumentChunk #4 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: Anyone find one of these in their candy?\n",
      "                            Subreddit: r/datascience\n",
      "                            Author: u/ElectrikMetriks\n",
      "                \n",
      "Catchiness match: <re.Match object; span=(377, 399), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/datascience\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #5 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Subreddit: r/datascience\n",
      "                            Author: u/fenrirbatdorf\n",
      "                            Score: 4\n",
      "                            Created: 2025-10-31 17:42:32\n",
      "\n",
      "Catchiness match: <re.Match object; span=(340, 362), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/datascience\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #6 Debug ===\n",
      "Text preview (first 200 chars): Some of these bugs are random and occur because the source data upstream of me randomly changed that broke my entire process. Enhancements sound simple in theory until I actually work on it. \n",
      "\n",
      "3. Ther\n",
      "Catchiness match: <re.Match object; span=(2408, 2430), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/datascience\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=7.0): #c37c7c\n",
      "\n",
      "=== DocumentChunk #7 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: LLMs can now talk to each other without using words\n",
      "                            Subreddit: r/ArtificialInteligence\n",
      "                            Author: u/MetaKnowing\n",
      "Catchiness match: <re.Match object; span=(467, 489), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ArtificialInteligence\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=7.0): #c37c7c\n",
      "\n",
      "=== DocumentChunk #8 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "\n",
      "\n",
      "\n",
      "Artists don’t need to fear the algorithm. They need to lead it.\n",
      "\n",
      "                            ---\n",
      "                            \n",
      "\n",
      "                            Title: Mercor AI - what the actual hell i\n",
      "Catchiness match: <re.Match object; span=(594, 616), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ArtificialInteligence\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=7.0): #c37c7c\n",
      "\n",
      "=== DocumentChunk #9 Debug ===\n",
      "Text preview (first 200 chars): com/opinion/the-ai-revolution-will-bring-prosperity-707e71d0](https://www.wsj.com/opinion/the-ai-revolution-will-bring-prosperity-707e71d0)\n",
      "\n",
      "2. [https://www.wsj.com/tech/ai/ai-really-is-coming-for-the\n",
      "Catchiness match: <re.Match object; span=(1238, 1260), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ArtificialInteligence\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=7.0): #c37c7c\n",
      "\n",
      "=== DocumentChunk #10 Debug ===\n",
      "Text preview (first 200 chars): \" (in: [https://omoreira.github.io/.../an-honest-conversation.html](https://omoreira.github.io/conversations-ai/an-honest-conversation.html?fbclid=IwZXh0bgNhZW0CMTAAYnJpZBEwbzliaHZyQVc5RG5iZmVWOQEeNC0\n",
      "Catchiness match: <re.Match object; span=(792, 814), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ArtificialInteligence\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=5.0): #b35959\n",
      "\n",
      "=== DocumentChunk #11 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: cs.AI updates on arXiv.org\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: CATArena: Evaluation of LLM Agents through Iterative Tou\n",
      "Catchiness match: <re.Match object; span=(351, 373), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🟢 IDENTIFIED AS RESEARCH/ARXIV\n",
      "Research Feed: cs.AI updates on arXiv.org\n",
      "Flags - Reddit: False, Research: True, Other: False\n",
      "🟢 Base color set to DARK GREEN (Research)\n",
      "Final color after brightness adjustment (catchiness=5.0): #599a59\n",
      "\n",
      "=== DocumentChunk #12 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: stat.ML updates on arXiv.org\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: Gradient Boosted Mixed Models: Flexible Joint Estimati\n",
      "Catchiness match: <re.Match object; span=(384, 406), match='Catchiness Score: 3/10'>\n",
      "Catchiness extracted: 3\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🟢 IDENTIFIED AS RESEARCH/ARXIV\n",
      "Research Feed: stat.ML updates on arXiv.org\n",
      "Flags - Reddit: False, Research: True, Other: False\n",
      "🟢 Base color set to DARK GREEN (Research)\n",
      "Final color after brightness adjustment (catchiness=3.0): #358435\n",
      "\n",
      "=== DocumentChunk #13 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: cs.CV updates on arXiv.org\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: Generative human motion mimicking through feature extrac\n",
      "Catchiness match: <re.Match object; span=(367, 389), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🟢 IDENTIFIED AS RESEARCH/ARXIV\n",
      "Research Feed: cs.CV updates on arXiv.org\n",
      "Flags - Reddit: False, Research: True, Other: False\n",
      "🟢 Base color set to DARK GREEN (Research)\n",
      "Final color after brightness adjustment (catchiness=4.0): #478f47\n",
      "\n",
      "=== DocumentChunk #14 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: Ai is ‘That Guy’?\n",
      "                            Subreddit: r/ChatGPT\n",
      "                            Author: u/Left-Astronaut6273\n",
      "                            Score: 1\n",
      "   \n",
      "Catchiness match: <re.Match object; span=(352, 374), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ChatGPT\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=5.0): #b35959\n",
      "\n",
      "=== DocumentChunk #15 Debug ===\n",
      "Text preview (first 200 chars): They serve as metadata for relationship and context understanding.)\n",
      "\n",
      "# ✅ Instructions for Use\n",
      "\n",
      "1. Paste this framework at the start of a new ChatGPT session.\n",
      "2. Upload or paste your `HISTORY.txt` (pre\n",
      "Catchiness match: <re.Match object; span=(4672, 4694), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ChatGPT\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #16 Debug ===\n",
      "Text preview (first 200 chars): Type \"GLS mode activate\" and it's about informing, learning, or getting through horrible perpetuating schizophrenia\n",
      "                            Subreddit: r/ChatGPT\n",
      "                            Author:\n",
      "Catchiness match: <re.Match object; span=(473, 495), match='Catchiness Score: 6/10'>\n",
      "Catchiness extracted: 6\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ChatGPT\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=6.0): #bb6b6b\n",
      "\n",
      "=== DocumentChunk #17 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: sell my car fast | Car buyer comparison\n",
      "                            Subreddit: r/deepLearning\n",
      "                            Author: u/Expert-Ad4336\n",
      "                  \n",
      "Catchiness match: <re.Match object; span=(431, 453), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/deepLearning\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #18 Debug ===\n",
      "Text preview (first 200 chars): 910e-04\n",
      "    ✅ Adam done in 25.9s\n",
      "    \n",
      "    TopologicalAdam | Ep  100 | Loss=3.186e-06 | MAE=1.785e-03\n",
      "    TopologicalAdam | Ep  200 | Loss=1.702e-06 | MAE=1.305e-03\n",
      "    TopologicalAdam | Ep  300 | Loss\n",
      "Catchiness match: <re.Match object; span=(5683, 5705), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/deepLearning\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #19 Debug ===\n",
      "Text preview (first 200 chars): link/e/RWvmvMgRZXb)\n",
      "\n",
      "\n",
      "\n",
      "                            ---\n",
      "                            \n",
      "\n",
      "                            Title: All instance segmentation with DINOv3\n",
      "                            Subreddit: r/d\n",
      "Catchiness match: <re.Match object; span=(486, 508), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/deepLearning\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #20 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: cs.LG updates on arXiv.org\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: VRScout: Towards Real-Time, Autonomous Testing of Virtua\n",
      "Catchiness match: <re.Match object; span=(346, 368), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🟢 IDENTIFIED AS RESEARCH/ARXIV\n",
      "Research Feed: cs.LG updates on arXiv.org\n",
      "Flags - Reddit: False, Research: True, Other: False\n",
      "🟢 Base color set to DARK GREEN (Research)\n",
      "Final color after brightness adjustment (catchiness=5.0): #599a59\n",
      "\n",
      "=== DocumentChunk #21 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: LLMs can now talk to each other without using words\n",
      "                            Subreddit: r/OpenAI\n",
      "                            Author: u/MetaKnowing\n",
      "              \n",
      "Catchiness match: <re.Match object; span=(377, 399), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/OpenAI\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=7.0): #c37c7c\n",
      "\n",
      "=== DocumentChunk #22 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "\n",
      "                            ---\n",
      "                            \n",
      "\n",
      "                            Title: Is ChatGPT now putting ads in images it generates? I hadn't used it in awhile. Today I uploaded a tro\n",
      "Catchiness match: <re.Match object; span=(756, 778), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/OpenAI\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=7.0): #c37c7c\n",
      "\n",
      "=== DocumentChunk #23 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: AI | VentureBeat\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: Strengthening Our Core: Welcoming Karyne Levy as VentureBeat’s New\n",
      "Catchiness match: <re.Match object; span=(413, 435), match='Catchiness Score: 3/10'>\n",
      "Catchiness extracted: 3\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🟢 IDENTIFIED AS RESEARCH/ARXIV\n",
      "Research Feed: AI | VentureBeat\n",
      "Flags - Reddit: False, Research: True, Other: False\n",
      "🟢 Base color set to DARK GREEN (Research)\n",
      "Final color after brightness adjustment (catchiness=3.0): #358435\n",
      "\n",
      "=== DocumentChunk #24 Debug ===\n",
      "Text preview (first 200 chars): com/ai/developers-beware-googles-gemma-model-controversy-exposes-model-lifecycle\n",
      "                Catchiness Score: 6/10\n",
      "\n",
      "                Summary:\n",
      "                <p>The recent controversy surrounding \n",
      "Catchiness match: <re.Match object; span=(97, 119), match='Catchiness Score: 6/10'>\n",
      "Catchiness extracted: 6\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "⚠️  NO SOURCE IDENTIFIED\n",
      "Flags - Reddit: False, Research: False, Other: False\n",
      "⚫ Base color set to GRAY (Unidentified)\n",
      "Final color after brightness adjustment (catchiness=6.0): #b5b5b5\n",
      "\n",
      "=== DocumentChunk #25 Debug ===\n",
      "Text preview (first 200 chars): See our </i><a href=\"https://r39crwmcu9m.typeform.com/to/NEzWFTji\"><i>guidelines here</i></a><i>. </i></p>\n",
      "\n",
      "                ---\n",
      "                \n",
      "\n",
      "                Title: Large reasoning models almost c\n",
      "Catchiness match: <re.Match object; span=(391, 413), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "⚠️  NO SOURCE IDENTIFIED\n",
      "Flags - Reddit: False, Research: False, Other: False\n",
      "⚫ Base color set to GRAY (Unidentified)\n",
      "Final color after brightness adjustment (catchiness=7.0): #bebebe\n",
      "\n",
      "=== DocumentChunk #26 Debug ===\n",
      "Text preview (first 200 chars): </p><hr /><p><i>Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more inf\n",
      "Catchiness match: <re.Match object; span=(642, 664), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🟢 IDENTIFIED AS RESEARCH/ARXIV\n",
      "Flags - Reddit: False, Research: True, Other: False\n",
      "🟢 Base color set to DARK GREEN (Research)\n",
      "Final color after brightness adjustment (catchiness=5.0): #599a59\n",
      "\n",
      "=== DocumentChunk #27 Debug ===\n",
      "Text preview (first 200 chars): The benchmark measures not just correctness, but also the model’s adherence to existing abstractions, style conventions, and engineering practices.</p><p>On this benchmark, Composer achieves frontier-\n",
      "Catchiness match: None\n",
      "No catchiness score found in text\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "⚠️  NO SOURCE IDENTIFIED\n",
      "Flags - Reddit: False, Research: False, Other: False\n",
      "⚫ Base color set to GRAY (Unidentified)\n",
      "No catchiness found, using base_color: #808080\n",
      "\n",
      "=== DocumentChunk #28 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: Open-webui not showing any models\n",
      "                            Subreddit: r/ollama\n",
      "                            Author: u/statsom\n",
      "                            Score: 1\n",
      "Catchiness match: <re.Match object; span=(402, 424), match='Catchiness Score: 3/10'>\n",
      "Catchiness extracted: 3\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ollama\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=3.0): #a33535\n",
      "\n",
      "=== DocumentChunk #29 Debug ===\n",
      "Text preview (first 200 chars): 1 https://127.0.0.1 http://127.0.0.1:* https://127.0.0.1:* http://0.0.0.0 https://0.0.0.0 http://0.0.0.0:* https://0.0.0.0:* app://* file://* tauri://* vscode-webview://* vscode-file://*] OLLAMA_REMOT\n",
      "Catchiness match: <re.Match object; span=(3238, 3260), match='Catchiness Score: 3/10'>\n",
      "Catchiness extracted: 3\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ollama\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=3.0): #a33535\n",
      "\n",
      "=== DocumentChunk #30 Debug ===\n",
      "Text preview (first 200 chars): com/r/ollama/comments/1oluzux/whats_the_best_uncensored_model_for_ollama/\n",
      "                            Catchiness Score: 4/10\n",
      "\n",
      "                            Content:\n",
      "                            Can anyon\n",
      "Catchiness match: <re.Match object; span=(102, 124), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/ollama\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #31 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: cs.CL updates on arXiv.org\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: PlotCraft: Pushing the Limits of LLMs for Complex and In\n",
      "Catchiness match: <re.Match object; span=(359, 381), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🟢 IDENTIFIED AS RESEARCH/ARXIV\n",
      "Research Feed: cs.CL updates on arXiv.org\n",
      "Flags - Reddit: False, Research: True, Other: False\n",
      "🟢 Base color set to DARK GREEN (Research)\n",
      "Final color after brightness adjustment (catchiness=5.0): #599a59\n",
      "\n",
      "=== DocumentChunk #32 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: llama.cpp vulkan build is being ignored\n",
      "                            Subreddit: r/LocalLLaMA\n",
      "                            Author: u/AhmadXVX15\n",
      "                       \n",
      "Catchiness match: <re.Match object; span=(425, 447), match='Catchiness Score: 3/10'>\n",
      "Catchiness extracted: 3\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/LocalLLaMA\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=3.0): #a33535\n",
      "\n",
      "=== DocumentChunk #33 Debug ===\n",
      "Text preview (first 200 chars): com/r/LocalLLaMA/comments/1onz3fi/discord_server_for_nvidia_dgx_spark_and_clone/\n",
      "                            Catchiness Score: 4/10\n",
      "\n",
      "                            Content:\n",
      "                            [h\n",
      "Catchiness match: <re.Match object; span=(109, 131), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/LocalLLaMA\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #34 Debug ===\n",
      "Text preview (first 200 chars): This suite then allows us to confidently experiment with new prompts or tools to improve the agent's performance without introducing new regressions.\n",
      "\n",
      "You can check it out here - [https://www.arthur.a\n",
      "Catchiness match: <re.Match object; span=(777, 799), match='Catchiness Score: 3/10'>\n",
      "Catchiness extracted: 3\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/LocalLLaMA\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=3.0): #a33535\n",
      "\n",
      "=== DocumentChunk #35 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: AI Memory newsletter: Context Engineering × memory (keep / update / decay / revisit)\n",
      "                            Subreddit: r/AIMemory\n",
      "                            A\n",
      "Catchiness match: <re.Match object; span=(472, 494), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/AIMemory\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #36 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "\n",
      "                            ---\n",
      "                            \n",
      "\n",
      "                            Title: 🌟🌟 New interactive visualization for our knowledge graphs 🌟🌟\n",
      "                            Subreddit: r\n",
      "Catchiness match: <re.Match object; span=(464, 486), match='Catchiness Score: 3/10'>\n",
      "Catchiness extracted: 3\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/AIMemory\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=3.0): #a33535\n",
      "\n",
      "=== DocumentChunk #37 Debug ===\n",
      "Text preview (first 200 chars): Make it implicit\n",
      "\n",
      "Always open to more feedback\n",
      "\n",
      "                            ---\n",
      "                            \n",
      "\n",
      "                            Title: Agents stop being \"shallow\" with memory and context eng\n",
      "Catchiness match: <re.Match object; span=(500, 522), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/AIMemory\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=5.0): #b35959\n",
      "\n",
      "=== DocumentChunk #38 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: Your AI agent demo isn't real. Here's what actually happens.\n",
      "                            Subreddit: r/AI_Agents\n",
      "                            Author: u/Warm-Reaction-\n",
      "Catchiness match: <re.Match object; span=(461, 483), match='Catchiness Score: 6/10'>\n",
      "Catchiness extracted: 6\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/AI_Agents\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=6.0): #bb6b6b\n",
      "\n",
      "=== DocumentChunk #39 Debug ===\n",
      "Text preview (first 200 chars): 88 USD so far\n",
      "\n",
      "And even with the website half-finished, I’ve been uploading \\~3,000 products these days… and I just got my first sale already\n",
      "\n",
      "I’m now convinced the real “AI” opportunity in business i\n",
      "Catchiness match: <re.Match object; span=(971, 993), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/AI_Agents\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #40 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "\n",
      "---\n",
      "\n",
      "## 📚 What you’ll learn in this repository\n",
      "\n",
      "An end-to-end walkthrough of the essential building blocks:\n",
      "\n",
      "- **PDF → Markdown conversion**\n",
      "- **Hierarchical chunking** (parent/child structure)\n",
      "- **\n",
      "Catchiness match: <re.Match object; span=(1474, 1496), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/AI_Agents\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #41 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: What's the best format to pass data to an LLM for optimal output?\n",
      "                            Subreddit: r/Rag\n",
      "                            Author: u/RoyalTitan333\n",
      " \n",
      "Catchiness match: <re.Match object; span=(450, 472), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/Rag\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=5.0): #b35959\n",
      "\n",
      "=== DocumentChunk #42 Debug ===\n",
      "Text preview (first 200 chars): Looked at platforms like Chatbase ($40-500/month, vendor lock-in). Looked at building from scratch (full control, but weeks of work every time).\n",
      "\n",
      "Nothing fit what I actually needed: **production-ready\n",
      "Catchiness match: <re.Match object; span=(7913, 7935), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/Rag\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=4.0): #ab4747\n",
      "\n",
      "=== DocumentChunk #43 Debug ===\n",
      "Text preview (first 200 chars): com/r/Rag/comments/1omcwsc/did_company_knowledge_just_kill_the_need_for/\n",
      "                            Catchiness Score: 7/10\n",
      "\n",
      "                            Content:\n",
      "                            So OpenAI \n",
      "Catchiness match: <re.Match object; span=(101, 123), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/Rag\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=7.0): #c37c7c\n",
      "\n",
      "=== DocumentChunk #44 Debug ===\n",
      "Text preview (first 200 chars): \n",
      "                            Title: How we turned LLM tone drift into a control systems problem (and it worked)\n",
      "                            Subreddit: r/LLMDevs\n",
      "                            Author: u/M\n",
      "Catchiness match: <re.Match object; span=(468, 490), match='Catchiness Score: 6/10'>\n",
      "Catchiness extracted: 6\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: True\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/LLMDevs\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=6.0): #bb6b6b\n",
      "\n",
      "=== DocumentChunk #45 Debug ===\n",
      "Text preview (first 200 chars): org/arc-agi), but don’t appear to have been applied to language generation yet.\n",
      "\n",
      "I’ve also looked into spiking neural networks, which look promising in theory but still seem to struggle with more comp\n",
      "Catchiness match: <re.Match object; span=(819, 841), match='Catchiness Score: 7/10'>\n",
      "Catchiness extracted: 7\n",
      "Checking for 'Subreddit: r/' in text: True\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: False\n",
      "🔴 IDENTIFIED AS REDDIT\n",
      "Subreddit: r/LLMDevs\n",
      "Flags - Reddit: True, Research: False, Other: False\n",
      "🔴 Base color set to DARK RED (Reddit)\n",
      "Final color after brightness adjustment (catchiness=7.0): #c37c7c\n",
      "\n",
      "=== DocumentChunk #46 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: One Useful Thing\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: An Opinionated Guide to Using AI Right Now\n",
      "                Publish\n",
      "Catchiness match: <re.Match object; span=(338, 360), match='Catchiness Score: 4/10'>\n",
      "Catchiness extracted: 4\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🔵 IDENTIFIED AS OTHER/RSS\n",
      "RSS Feed: One Useful Thing\n",
      "Flags - Reddit: False, Research: False, Other: True\n",
      "🔵 Base color set to DARK BLUE (Other/RSS)\n",
      "Final color after brightness adjustment (catchiness=4.0): #4747ab\n",
      "\n",
      "=== DocumentChunk #47 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: AI | TechCrunch\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: Meta has an AI product problem\n",
      "                Published: Sun, 02 N\n",
      "Catchiness match: <re.Match object; span=(327, 349), match='Catchiness Score: 6/10'>\n",
      "Catchiness extracted: 6\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🔵 IDENTIFIED AS OTHER/RSS\n",
      "RSS Feed: AI | TechCrunch\n",
      "Flags - Reddit: False, Research: False, Other: True\n",
      "🔵 Base color set to DARK BLUE (Other/RSS)\n",
      "Final color after brightness adjustment (catchiness=6.0): #6b6bbb\n",
      "\n",
      "=== DocumentChunk #48 Debug ===\n",
      "Text preview (first 200 chars): RSS Feed: OpenAI News\n",
      "\n",
      "================================================================================\n",
      "\n",
      "\n",
      "                Title: Introducing IndQA\n",
      "                Published: Mon, 03 Nov 2025 22:30:00 \n",
      "Catchiness match: <re.Match object; span=(285, 307), match='Catchiness Score: 5/10'>\n",
      "Catchiness extracted: 5\n",
      "Checking for 'Subreddit: r/' in text: False\n",
      "Checking for 'arxiv.org' in text: False\n",
      "Checking for 'RSS Feed:' in text: True\n",
      "🔵 IDENTIFIED AS OTHER/RSS\n",
      "RSS Feed: OpenAI News\n",
      "Flags - Reddit: False, Research: False, Other: True\n",
      "🔵 Base color set to DARK BLUE (Other/RSS)\n",
      "Final color after brightness adjustment (catchiness=5.0): #5959b3\n",
      "\n",
      "============================================================\n",
      "DOCUMENT CHUNK SUMMARY\n",
      "============================================================\n",
      "Total DocumentChunks: 48\n",
      "🔴 Reddit posts (DARK RED): 32\n",
      "🟢 Research/arXiv (DARK GREEN): 7\n",
      "🔵 Other/RSS (DARK BLUE): 6\n",
      "⚠️  Unidentified: 3\n",
      "IDs tracked - Reddit: 32, Research: 7, Other: 6\n",
      "============================================================\n",
      "\n",
      "Building entity-to-source mapping from edges...\n",
      "Entities connected to - Reddit: 1279, Research: 327, Other: 239\n",
      "  🔵 Entity 'mit technology review' colored blue (Other)\n",
      "  🔵 Entity 'financial times' colored blue (Other)\n",
      "  🔵 Entity 'the state of ai: is china about to win the race?' colored blue (Other)\n",
      "  🟠 Entity '2025-11-03' colored orange/red (Reddit)\n",
      "  🟠 Entity '2025-10-31' colored orange/red (Reddit)\n",
      "  🟠 Entity '2025-10-30' colored orange/red (Reddit)\n",
      "  🟢 Entity 'catarena: evaluation of llm agents through iterative tournament competitions' colored green (Research)\n",
      "  🟢 Entity 'catarena' colored green (Research)\n",
      "  🟢 Entity 'inverse knowledge search over verifiable reasoning: synthesizing a scientific encyclopedia from a long chains-of-thought knowledge base' colored green (Research)\n",
      "\n",
      "🟠 Reddit entities (ORANGE #FF4500): 1107 / 1672\n",
      "🟢 Research entities (GREEN #00FF00): 282 / 1672\n",
      "🔵 Other entities (BLUE #5C10F4): 179 / 1672\n",
      "\n",
      "============================================================\n",
      "COLOR SCHEME SUMMARY\n",
      "============================================================\n",
      "🔴 DocumentChunks (Reddit)   → DARK RED #8B0000 (brightness by catchiness)\n",
      "🟠 Entities (Reddit)         → ORANGE/RED #FF4500\n",
      "🟢 DocumentChunks (Research) → DARK GREEN #006400 (brightness by catchiness)\n",
      "🟢 Entities (Research)       → GREEN #00FF00\n",
      "🔵 DocumentChunks (Other)    → DARK BLUE #00008B (brightness by catchiness)\n",
      "🔵 Entities (Other)          → BLUE #5C10F4\n",
      "============================================================\n",
      "\n",
      "Fancy graph visualized with custom catchiness coloring: /Users/lstromann/projects/blogs/stay_on_top_of_news/fancy_graph_visualization_v2.html\n"
     ]
    }
   ],
   "source": [
    "# generate the second graph visualization after memory enhancement using custom visual.py\n",
    "import importlib\n",
    "import visual\n",
    "importlib.reload(visual)  # Reload to pick up latest changes\n",
    "from visual import cognee_network_visualization\n",
    "from cognee.infrastructure.databases.graph import get_graph_engine\n",
    "\n",
    "# Get graph data from cognee\n",
    "graph_engine = await get_graph_engine()\n",
    "graph_data = await graph_engine.get_graph_data()\n",
    "\n",
    "# Use custom visualization with catchiness-based brightness\n",
    "fancy_graph_visualization_path = str(Path.cwd() / \"fancy_graph_visualization_v2.html\")\n",
    "await cognee_network_visualization(graph_data, fancy_graph_visualization_path)\n",
    "print(f\"Fancy graph visualized with custom catchiness coloring: {fancy_graph_visualization_path}\")"
   ]
  }
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