cognee/notebooks/full_run.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38135bf7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import path\n",
    "import cognee\n",
    "import dspy\n",
    "from cognee.modules.cognify.dataset import HotPotQA\n",
    "\n",
    "data_directory_path = path.abspath(\"../.data\")\n",
    "cognee.config.data_root_directory(data_directory_path)\n",
    "\n",
    "cognee_directory_path = path.abspath(\"../.cognee_system\")\n",
    "cognee.config.system_root_directory(cognee_directory_path)\n",
    "\n",
    "await cognee.prune.prune_system()\n",
    "\n",
    "colbertv2_wiki17_abstracts = dspy.ColBERTv2(url = \"http://20.102.90.50:2017/wiki17_abstracts\")\n",
    "dspy.configure(rm = colbertv2_wiki17_abstracts)\n",
    "\n",
    "# dataset = HotPotQA(\n",
    "#     train_seed = 1,\n",
    "#     train_size = 10,\n",
    "#     eval_seed = 2023,\n",
    "#     dev_size = 0,\n",
    "#     test_size = 0,\n",
    "#     keep_details = True,\n",
    "# )\n",
    "\n",
    "# texts_to_add = []\n",
    "\n",
    "# for train_case in dataset.train:\n",
    "#     train_case_text = \"\\r\\n\".join(\" \".join(context_sentences) for context_sentences in train_case.get(\"context\")[\"sentences\"])\n",
    "\n",
    "#     texts_to_add.append(train_case_text)\n",
    "\n",
    "dataset_name = \"short_stories\"\n",
    "await cognee.add(\"data://\" + data_directory_path, dataset_name)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "44603a2a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-30T16:53:16.917678Z",
     "start_time": "2024-04-30T16:53:14.700232Z"
    }
   },
   "outputs": [],
   "source": [
    "from os import path\n",
    "import cognee\n",
    "\n",
    "data_directory_path = path.abspath(\"../.data\")\n",
    "cognee.config.data_root_directory(data_directory_path)\n",
    "\n",
    "cognee_directory_path = path.abspath(\"../.cognee_system\")\n",
    "cognee.config.system_root_directory(cognee_directory_path)\n",
    "\n",
    "print(cognee.datasets.list_datasets())\n",
    "\n",
    "train_dataset = cognee.datasets.list_data(\"short_stories\")\n",
    "print(len(train_dataset))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65bfaf09",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-30T16:55:30.886217Z",
     "start_time": "2024-04-30T16:53:19.164943Z"
    }
   },
   "outputs": [],
   "source": [
    "from os import path\n",
    "import logging\n",
    "import cognee\n",
    "\n",
    "logging.basicConfig(level = logging.INFO)\n",
    "\n",
    "data_directory_path = path.abspath(\"../.data\")\n",
    "cognee.config.data_root_directory(data_directory_path)\n",
    "\n",
    "cognee_directory_path = path.abspath(\"../.cognee_system\")\n",
    "cognee.config.system_root_directory(cognee_directory_path)\n",
    "\n",
    "await cognee.prune.prune_system()\n",
    "\n",
    "await cognee.cognify(\"short_stories\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a514cf38",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-04-30T16:55:39.819971Z",
     "start_time": "2024-04-30T16:55:35.627964Z"
    }
   },
   "outputs": [],
   "source": [
    "import graphistry\n",
    "from cognee.config import Config\n",
    "from cognee.utils import render_graph\n",
    "from cognee.infrastructure.databases.graph.get_graph_client import get_graph_client, GraphDBType\n",
    "\n",
    "config = Config()\n",
    "config.load()\n",
    "\n",
    "graphistry.register(\n",
    "    api = 3,\n",
    "    username = config.graphistry_username,\n",
    "    password = config.graphistry_password\n",
    ")\n",
    "\n",
    "graph_client = await get_graph_client(GraphDBType.NETWORKX, \"cognee_graph.pkl\")\n",
    "graph = graph_client.graph\n",
    "\n",
    "await render_graph(graph)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e916c484",
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import path\n",
    "import cognee\n",
    "from cognee.infrastructure.databases.graph.get_graph_client import get_graph_client, GraphDBType\n",
    "from cognee.modules.search.vector.search_similarity import search_similarity\n",
    "\n",
    "data_directory_path = path.abspath(\"../.data\")\n",
    "cognee.config.data_root_directory(data_directory_path)\n",
    "\n",
    "cognee_directory_path = path.abspath(\"../.cognee_system\")\n",
    "cognee.config.system_root_directory(cognee_directory_path)\n",
    "\n",
    "graph_client = await get_graph_client(GraphDBType.NETWORKX)\n",
    "graph = graph_client.graph\n",
    "\n",
    "results = await search_similarity(\"Who are French girls?\", graph)\n",
    "\n",
    "for result in results:\n",
    "    print(\"French girls\" in result)\n",
    "    print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5e44018878d383f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}