fix: various fixes for the deployment

* fix: remove groups from UserRead model

* fix: add missing system dependencies for postgres

* fix: change vector db provider environment variable name

* fix: WeaviateAdapter retrieve bug

* fix: correctly return data point objects from retrieve method

* fix: align graph object properties

* feat: add node example

.env.template

@@ -13,7 +13,7 @@ GRAPH_DATABASE_URL=
 GRAPH_DATABASE_USERNAME=
 GRAPH_DATABASE_PASSWORD=
 
-VECTOR_ENGINE_PROVIDER="qdrant" # or "weaviate" or "lancedb"
+VECTOR_DB_PROVIDER="qdrant" # or "weaviate" or "lancedb"
 # Not needed if using "lancedb"
 VECTOR_DB_URL=
 VECTOR_DB_KEY=

.gitignore

@@ -177,3 +177,5 @@ cognee/cache/
 # Default cognee system directory, used in development
 .cognee_system/
 .data_storage/
+
+node_modules/

Dockerfile

@@ -8,9 +8,17 @@ ENV DEBUG=${DEBUG}
 ENV PIP_NO_CACHE_DIR=true
 ENV PATH="${PATH}:/root/.poetry/bin"
 
+RUN apt-get update && apt-get install
+
+RUN apt-get install -y \
+  gcc \
+  libpq-dev
+
+
 WORKDIR /app
 COPY pyproject.toml poetry.lock /app/
 
+
 RUN pip install poetry
 
 # Don't create virtualenv since docker is already isolated
@@ -18,15 +26,16 @@ RUN poetry config virtualenvs.create false
 
 # Install the dependencies
 RUN poetry install --no-root --no-dev
-        
+
+
 # Set the PYTHONPATH environment variable to include the /app directory
 ENV PYTHONPATH=/app
 
-COPY cognee/ cognee/
+COPY cognee/ /app/cognee
 
 # Copy Alembic configuration
-COPY alembic.ini ./
-COPY alembic/ alembic/
+COPY alembic.ini /app/alembic.ini
+COPY alembic/ /app/alembic
 
 COPY entrypoint.sh /app/entrypoint.sh
 RUN chmod +x /app/entrypoint.sh

alembic/env.py

@@ -92,6 +92,8 @@ if db_engine.engine.dialect.name == "sqlite":
     db_config = get_relational_config()
     LocalStorage.ensure_directory_exists(db_config.db_path)
 
+print("Using database:", db_engine.db_uri)
+
 config.set_section_option(
     config.config_ini_section,
     "SQLALCHEMY_DATABASE_URI",

alembic/versions/482cd6517ce4_add_default_user.py

@@ -16,7 +16,7 @@ from cognee.modules.users.methods import create_default_user, delete_user
 revision: str = '482cd6517ce4'
 down_revision: Union[str, None] = '8057ae7329c2'
 branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = "8057ae7329c2"
 
 
 def upgrade() -> None:

cognee/api/client.py

@@ -43,13 +43,13 @@ async def lifespan(app: FastAPI):
     # from cognee.modules.data.deletion import prune_system, prune_data
     # await prune_data()
     # await prune_system(metadata = True)
-    if app_environment == "local" or app_environment == "dev":
-        from cognee.infrastructure.databases.relational import get_relational_engine
-        db_engine = get_relational_engine()
-        await db_engine.create_database()
+    # if app_environment == "local" or app_environment == "dev":
+    from cognee.infrastructure.databases.relational import get_relational_engine
+    db_engine = get_relational_engine()
+    await db_engine.create_database()
 
-        from cognee.modules.users.methods import get_default_user
-        await get_default_user()
+    from cognee.modules.users.methods import get_default_user
+    await get_default_user()
 
     yield
 

cognee/api/v1/config/config.py

@@ -21,7 +21,7 @@ class config():
         graph_config.graph_file_path = os.path.join(databases_directory_path, "cognee.graph")
 
         vector_config = get_vectordb_config()
-        if vector_config.vector_engine_provider == "lancedb":
+        if vector_config.vector_db_provider == "lancedb":
             vector_config.vector_db_url = os.path.join(databases_directory_path, "cognee.lancedb")
 
     @staticmethod
@@ -91,9 +91,9 @@ class config():
 
 
     @staticmethod
-    def set_vector_engine_provider(vector_engine_provider: str):
+    def set_vector_db_provider(vector_db_provider: str):
         vector_db_config = get_vectordb_config()
-        vector_db_config.vector_engine_provider = vector_engine_provider
+        vector_db_config.vector_db_provider = vector_db_provider
 
     @staticmethod
     def set_vector_db_key(db_key: str):

cognee/infrastructure/databases/vector/config.py

@@ -9,7 +9,7 @@ class VectorConfig(BaseSettings):
         "cognee.lancedb"
     )
     vector_db_key: str = ""
-    vector_engine_provider: str = "lancedb"
+    vector_db_provider: str = "lancedb"
 
     model_config = SettingsConfigDict(env_file = ".env", extra = "allow")
 
@@ -17,7 +17,7 @@ class VectorConfig(BaseSettings):
         return {
             "vector_db_url": self.vector_db_url,
             "vector_db_key": self.vector_db_key,
-            "vector_db_provider": self.vector_engine_provider,
+            "vector_db_provider": self.vector_db_provider,
         }
 
 @lru_cache

cognee/infrastructure/databases/vector/weaviate_db/WeaviateAdapter.py

@@ -108,11 +108,12 @@ class WeaviateAdapter(VectorDBInterface):
             filters = Filter.by_id().contains_any(data_point_ids)
         )
 
-        for data_point in data_points:
+        for data_point in data_points.objects:
             data_point.payload = data_point.properties
+            data_point.id = data_point.uuid
             del data_point.properties
 
-        future.set_result(data_points)
+        future.set_result(data_points.objects)
 
         return await future
 

cognee/infrastructure/llm/openai/adapter.py

@@ -4,7 +4,6 @@ import os
 from pathlib import Path
 from typing import List, Type
 
-import aiofiles
 import openai
 import instructor
 from pydantic import BaseModel
@@ -13,9 +12,7 @@ from tenacity import retry, stop_after_attempt
 from cognee.base_config import get_base_config
 from cognee.infrastructure.llm.llm_interface import LLMInterface
 from cognee.infrastructure.llm.prompts import read_query_prompt
-from cognee.shared.data_models import MonitoringTool
-import logging
-logging.basicConfig(level=logging.DEBUG)
+# from cognee.shared.data_models import MonitoringTool
 
 class OpenAIAdapter(LLMInterface):
     name = "OpenAI"

cognee/modules/settings/get_settings.py

@@ -100,8 +100,8 @@ def get_settings() -> SettingsDict:
         },
         vector_db = {
             "provider": {
-                "label": vector_config.vector_engine_provider,
-                "value": vector_config.vector_engine_provider.lower(),
+                "label": vector_config.vector_db_provider,
+                "value": vector_config.vector_db_provider.lower(),
             },
             "url": vector_config.vector_db_url,
             "api_key": vector_config.vector_db_key,

cognee/modules/settings/save_vector_db_config.py

@@ -12,4 +12,4 @@ async def save_vector_db_config(vector_db_config: VectorDBConfig):
 
     vector_config.vector_db_url = vector_db_config.url
     vector_config.vector_db_key = vector_db_config.api_key
-    vector_config.vector_engine_provider = vector_db_config.provider
+    vector_config.vector_db_provider = vector_db_config.provider

cognee/modules/users/models/User.py

@@ -25,7 +25,8 @@ class User(SQLAlchemyBaseUserTableUUID, Principal):
 from fastapi_users import schemas
 
 class UserRead(schemas.BaseUser[uuid_UUID]):
-    groups: list[uuid_UUID]  # Add groups attribute
+    # groups: list[uuid_UUID]  # Add groups attribute
+    pass
 
 class UserCreate(schemas.BaseUserCreate):
     pass

cognee/tasks/chunk_update_check/chunk_update_check.py

@@ -14,7 +14,7 @@ async def chunk_update_check(data_chunks: list[DocumentChunk], collection_name:
         [str(chunk.chunk_id) for chunk in data_chunks],
     )
 
-    existing_chunks_map = {chunk.id: chunk.payload for chunk in existing_chunks}
+    existing_chunks_map = {str(chunk.id): chunk.payload for chunk in existing_chunks}
 
     affected_data_chunks = []
 

cognee/tasks/graph/query_graph_connections.py

@@ -23,7 +23,7 @@ async def query_graph_connections(query: str, exploration_levels = 1) -> list[(s
     exact_node = await graph_engine.extract_node(node_id)
 
     if exact_node is not None and "uuid" in exact_node:
-        node_connections = await graph_engine.get_connections(exact_node["uuid"])
+        node_connections = await graph_engine.get_connections(str(exact_node["uuid"]))
     else:
         vector_engine = get_vector_engine()
         results = await asyncio.gather(
@@ -37,7 +37,7 @@ async def query_graph_connections(query: str, exploration_levels = 1) -> list[(s
             return []
 
         node_connections_results = await asyncio.gather(
-            *[graph_engine.get_connections(result.payload["uuid"]) for result in relevant_results]
+            *[graph_engine.get_connections(str(result.payload["uuid"])) for result in relevant_results]
         )
 
         node_connections = []

cognee/tests/test_qdrant.py

@@ -9,7 +9,7 @@ from cognee.api.v1.search import SearchType
 logging.basicConfig(level=logging.DEBUG)
 
 async def main():
-    cognee.config.set_vector_engine_provider("qdrant")
+    cognee.config.set_vector_db_provider("qdrant")
     data_directory_path = str(pathlib.Path(os.path.join(pathlib.Path(__file__).parent, ".data_storage/test_qdrant")).resolve())
     cognee.config.data_root_directory(data_directory_path)
     cognee_directory_path = str(pathlib.Path(os.path.join(pathlib.Path(__file__).parent, ".cognee_system/test_qdrant")).resolve())

cognee/tests/test_weaviate.py

@@ -7,7 +7,7 @@ from cognee.api.v1.search import SearchType
 logging.basicConfig(level=logging.DEBUG)
 
 async def main():
-    cognee.config.set_vector_engine_provider("weaviate")
+    cognee.config.set_vector_db_provider("weaviate")
     data_directory_path = str(pathlib.Path(os.path.join(pathlib.Path(__file__).parent, ".data_storage/test_weaviate")).resolve())
     cognee.config.data_root_directory(data_directory_path)
     cognee_directory_path = str(pathlib.Path(os.path.join(pathlib.Path(__file__).parent, ".cognee_system/test_weaviate")).resolve())

entrypoint.sh

@@ -3,8 +3,19 @@
 echo "Debug mode: $DEBUG"
 echo "Environment: $ENVIRONMENT"
 
-# Run migrations
-poetry run alembic upgrade head
+
+# # Run Alembic migrations
+# echo "Running database migrations..."
+# poetry run alembic upgrade head
+
+# # Check if the migrations were successful
+# if [ $? -eq 0 ]; then
+#     echo "Migrations completed successfully."
+# else
+#     echo "Migration failed, exiting."
+#     exit 1
+# fi
+
 
 echo "Starting Gunicorn"
 

examples/node/fetch.js

@@ -0,0 +1,14 @@
+import nodeFetch from 'node-fetch';
+import handleServerErrors from './handleServerErrors.js';
+
+export default function fetch(url, options = {}, token) {
+  return nodeFetch('http://127.0.0.1:8000/api' + url, {
+    ...options,
+    headers: {
+      ...options.headers,
+      'Authorization': `Bearer ${token}`,
+    },
+  })
+    .then(handleServerErrors)
+    .catch(handleServerErrors);
+}

examples/node/handleServerErrors.js

@@ -0,0 +1,16 @@
+export default function handleServerErrors(response) {
+  return new Promise((resolve, reject) => {
+    if (response.status === 401) {
+      return reject(new Error('Unauthorized'));
+    }
+    if (!response.ok) {
+      if (response.json) {
+        return response.json().then(error => reject(error));
+      } else {
+        return reject(response.detail || response.body || response);
+      }
+    }
+
+    return resolve(response);
+  });
+}

examples/node/main.js

@@ -0,0 +1,122 @@
+import fs from 'fs';
+import FormData from 'form-data';
+import fetch from './fetch.js';
+
+async function run() {
+  try {
+    // Default user is created automatically, you can create a new user if needed.
+    // const registerResponse = await fetch('/v1/auth/register', {
+    //   method: 'POST',
+    //   body: {
+    //     email: 'default_user@example.com',
+    //     password: 'default_password',
+    //     is_active: true,
+    //     is_superuser: true,
+    //     is_verified: true
+    //   },
+    //   headers: {
+    //     'Content-Type': 'application/json',
+    //   },
+    // });
+    // const user = await registerResponse.json();
+
+    const authCredentials = new FormData();
+    authCredentials.append('username', 'default_user@example.com');
+    authCredentials.append('password', 'default_password');
+    
+    const loginResponse = await fetch('/v1/auth/login', {
+      method: 'POST',
+      body: authCredentials,
+    });
+
+    const bearer = await loginResponse.json();
+    const token = bearer.access_token;
+
+    const response = await fetch('/v1/datasets', {}, token);
+    const datasets = await response.json();
+    console.log(datasets);
+
+    const files = [
+      fs.createReadStream('../data/artificial_intelligence.pdf'),
+    ];
+
+    const addData = new FormData();
+    files.forEach((file) => {
+      addData.append('data', file, file.name);
+    })
+    addData.append('datasetId', 'main');
+    
+    await fetch('/v1/add', {
+      method: 'POST',
+      body: addData,
+      headers: addData.getHeaders(),
+    }, token);
+
+    await fetch('/v1/cognify', {
+      method: 'POST',
+      body: JSON.stringify({
+        datasets: ['main'],
+      }),
+      headers: {
+        'Content-Type': 'application/json',
+      }
+    }, token);
+
+    const graphResponse = await fetch('/v1/datasets/main/graph', {
+      method: 'GET',
+    }, token);
+
+    const graphUrl = await graphResponse.text();
+    console.log('Graph URL:', graphUrl);
+
+    // Search for summaries
+    const summariesResponse = await fetch('/v1/search', {
+      method: 'POST',
+      body: JSON.stringify({
+        searchType: 'SUMMARIES',
+        query: 'Artificial Intelligence',
+      }),
+      headers: {
+        'Content-Type': 'application/json',
+      }
+    }, token);
+
+
+    const summariesResults = await summariesResponse.json();
+    console.log('Summaries Results:', summariesResults);
+
+    // Search for chunks
+    const chunksResponse = await fetch('/v1/search', {
+      method: 'POST',
+      body: JSON.stringify({
+        searchType: 'CHUNKS',
+        query: 'Artificial Intelligence',
+      }),
+      headers: {
+        'Content-Type': 'application/json',
+      }
+    }, token);
+
+    const chunksResults = await chunksResponse.json();
+    console.log('Chunks Results:', chunksResults);
+
+    // Search for insights
+    const insightsResponse = await fetch('/v1/search', {
+      method: 'POST',
+      body: JSON.stringify({
+        searchType: 'INSIGHTS',
+        query: 'Artificial Intelligence',
+      }),
+      headers: {
+        'Content-Type': 'application/json',
+      }
+    }, token);
+
+    const insightsResults = await insightsResponse.json();
+    console.log('Insights Results:', insightsResults);
+  } catch (error) {
+    console.error('Error:', error);
+  }
+}
+
+run();

examples/node/package-lock.json

@@ -0,0 +1,156 @@
+{
+  "name": "node-example",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "node-example",
+      "version": "1.0.0",
+      "dependencies": {
+        "form-data": "^4.0.1",
+        "node-fetch": "^3.3.2"
+      }
+    },
+    "node_modules/asynckit": {
+      "version": "0.4.0",
+      "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
+      "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
+    },
+    "node_modules/combined-stream": {
+      "version": "1.0.8",
+      "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
+      "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
+      "dependencies": {
+        "delayed-stream": "~1.0.0"
+      },
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/data-uri-to-buffer": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/data-uri-to-buffer/-/data-uri-to-buffer-4.0.1.tgz",
+      "integrity": "sha512-0R9ikRb668HB7QDxT1vkpuUBtqc53YyAwMwGeUFKRojY/NWKvdZ+9UYtRfGmhqNbRkTSVpMbmyhXipFFv2cb/A==",
+      "engines": {
+        "node": ">= 12"
+      }
+    },
+    "node_modules/delayed-stream": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
+      "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
+      "engines": {
+        "node": ">=0.4.0"
+      }
+    },
+    "node_modules/fetch-blob": {
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/fetch-blob/-/fetch-blob-3.2.0.tgz",
+      "integrity": "sha512-7yAQpD2UMJzLi1Dqv7qFYnPbaPx7ZfFK6PiIxQ4PfkGPyNyl2Ugx+a/umUonmKqjhM4DnfbMvdX6otXq83soQQ==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/jimmywarting"
+        },
+        {
+          "type": "paypal",
+          "url": "https://paypal.me/jimmywarting"
+        }
+      ],
+      "dependencies": {
+        "node-domexception": "^1.0.0",
+        "web-streams-polyfill": "^3.0.3"
+      },
+      "engines": {
+        "node": "^12.20 || >= 14.13"
+      }
+    },
+    "node_modules/form-data": {
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.1.tgz",
+      "integrity": "sha512-tzN8e4TX8+kkxGPK8D5u0FNmjPUjw3lwC9lSLxxoB/+GtsJG91CO8bSWy73APlgAZzZbXEYZJuxjkHH2w+Ezhw==",
+      "dependencies": {
+        "asynckit": "^0.4.0",
+        "combined-stream": "^1.0.8",
+        "mime-types": "^2.1.12"
+      },
+      "engines": {
+        "node": ">= 6"
+      }
+    },
+    "node_modules/formdata-polyfill": {
+      "version": "4.0.10",
+      "resolved": "https://registry.npmjs.org/formdata-polyfill/-/formdata-polyfill-4.0.10.tgz",
+      "integrity": "sha512-buewHzMvYL29jdeQTVILecSaZKnt/RJWjoZCF5OW60Z67/GmSLBkOFM7qh1PI3zFNtJbaZL5eQu1vLfazOwj4g==",
+      "dependencies": {
+        "fetch-blob": "^3.1.2"
+      },
+      "engines": {
+        "node": ">=12.20.0"
+      }
+    },
+    "node_modules/mime-db": {
+      "version": "1.52.0",
+      "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
+      "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/mime-types": {
+      "version": "2.1.35",
+      "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
+      "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
+      "dependencies": {
+        "mime-db": "1.52.0"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/node-domexception": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
+      "integrity": "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/jimmywarting"
+        },
+        {
+          "type": "github",
+          "url": "https://paypal.me/jimmywarting"
+        }
+      ],
+      "engines": {
+        "node": ">=10.5.0"
+      }
+    },
+    "node_modules/node-fetch": {
+      "version": "3.3.2",
+      "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-3.3.2.tgz",
+      "integrity": "sha512-dRB78srN/l6gqWulah9SrxeYnxeddIG30+GOqK/9OlLVyLg3HPnr6SqOWTWOXKRwC2eGYCkZ59NNuSgvSrpgOA==",
+      "dependencies": {
+        "data-uri-to-buffer": "^4.0.0",
+        "fetch-blob": "^3.1.4",
+        "formdata-polyfill": "^4.0.10"
+      },
+      "engines": {
+        "node": "^12.20.0 || ^14.13.1 || >=16.0.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/node-fetch"
+      }
+    },
+    "node_modules/web-streams-polyfill": {
+      "version": "3.3.3",
+      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
+      "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
+      "engines": {
+        "node": ">= 8"
+      }
+    }
+  }
+}

examples/node/package.json

@@ -0,0 +1,14 @@
+{
+  "type": "module",
+  "name": "node-example",
+  "version": "1.0.0",
+  "description": "Node example calling Cognee API",
+  "main": "main.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "dependencies": {
+    "form-data": "^4.0.1",
+    "node-fetch": "^3.3.2"
+  }
+}

notebooks/cognee_demo.ipynb

@@ -548,7 +548,7 @@
                 "#GRAPH_DATABASE_USERNAME=\"\"\n",
                 "#GRAPH_DATABASE_PASSWORD=\"\"\n",
                 "\n",
-                "os.environ[\"VECTOR_ENGINE_PROVIDER\"]=\"lancedb\" # \"qdrant\", \"weaviate\" or \"lancedb\"\n",
+                "os.environ[\"VECTOR_DB_PROVIDER\"]=\"lancedb\" # \"qdrant\", \"weaviate\" or \"lancedb\"\n",
                 "# Not needed if using \"lancedb\"\n",
                 "# os.environ[\"VECTOR_DB_URL\"]=\"\"\n",
                 "# os.environ[\"VECTOR_DB_KEY\"]=\"\"\n",

poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
 
 [[package]]
 name = "aiofiles"
@@ -1350,13 +1350,13 @@ files = [
 
 [[package]]
 name = "dlt"
-version = "1.0.0"
+version = "1.2.0"
 description = "dlt is an open-source python-first scalable data loading library that does not require any backend to run."
 optional = false
 python-versions = "<3.13,>=3.8.1"
 files = [
-    {file = "dlt-1.0.0-py3-none-any.whl", hash = "sha256:730474cadcbc8151854d2c2999099225df3fe2b03fcfe716bc42e0b1a7707484"},
-    {file = "dlt-1.0.0.tar.gz", hash = "sha256:757ca3b1fe19d47720f22ad45d0642077ccafe2e64094ef30da478ca50a392c4"},
+    {file = "dlt-1.2.0-py3-none-any.whl", hash = "sha256:85256c0f87fe3cc1eedc390e6e3a31820250ac1f75bb9510bcf4085d069427ce"},
+    {file = "dlt-1.2.0.tar.gz", hash = "sha256:3e3c8604ea2fb213f0901cecab018909570824e5addbb45954c2c274f1439b2c"},
 ]
 
 [package.dependencies]
@@ -1397,12 +1397,12 @@ clickhouse = ["adlfs (>=2022.4.0)", "clickhouse-connect (>=0.7.7)", "clickhouse-
 databricks = ["databricks-sql-connector (>=2.9.3)"]
 deltalake = ["deltalake (>=0.19.0)", "pyarrow (>=12.0.0)"]
 dremio = ["pyarrow (>=12.0.0)"]
-duckdb = ["duckdb (>=0.6.1,<0.11)"]
+duckdb = ["duckdb (>=0.9)"]
 filesystem = ["botocore (>=1.28)", "s3fs (>=2022.4.0)"]
 gcp = ["gcsfs (>=2022.4.0)", "google-cloud-bigquery (>=2.26.0)", "grpcio (>=1.50.0)"]
 gs = ["gcsfs (>=2022.4.0)"]
 lancedb = ["lancedb (>=0.8.2)", "pyarrow (>=12.0.0)", "tantivy (>=0.22.0)"]
-motherduck = ["duckdb (>=0.6.1,<0.11)", "pyarrow (>=12.0.0)"]
+motherduck = ["duckdb (>=0.9)", "pyarrow (>=12.0.0)"]
 mssql = ["pyodbc (>=4.0.39)"]
 parquet = ["pyarrow (>=12.0.0)"]
 postgres = ["psycopg2-binary (>=2.9.1)", "psycopg2cffi (>=2.9.0)"]
@@ -3685,6 +3685,7 @@ optional = false
 python-versions = ">=3.6"
 files = [
     {file = "mkdocs-redirects-1.2.1.tar.gz", hash = "sha256:9420066d70e2a6bb357adf86e67023dcdca1857f97f07c7fe450f8f1fb42f861"},
+    {file = "mkdocs_redirects-1.2.1-py3-none-any.whl", hash = "sha256:497089f9e0219e7389304cffefccdfa1cac5ff9509f2cb706f4c9b221726dffb"},
 ]
 
 [package.dependencies]
@@ -4913,6 +4914,24 @@ files = [
 [package.extras]
 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
+[[package]]
+name = "psycopg2"
+version = "2.9.10"
+description = "psycopg2 - Python-PostgreSQL Database Adapter"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "psycopg2-2.9.10-cp310-cp310-win32.whl", hash = "sha256:5df2b672140f95adb453af93a7d669d7a7bf0a56bcd26f1502329166f4a61716"},
+    {file = "psycopg2-2.9.10-cp310-cp310-win_amd64.whl", hash = "sha256:c6f7b8561225f9e711a9c47087388a97fdc948211c10a4bccbf0ba68ab7b3b5a"},
+    {file = "psycopg2-2.9.10-cp311-cp311-win32.whl", hash = "sha256:47c4f9875125344f4c2b870e41b6aad585901318068acd01de93f3677a6522c2"},
+    {file = "psycopg2-2.9.10-cp311-cp311-win_amd64.whl", hash = "sha256:0435034157049f6846e95103bd8f5a668788dd913a7c30162ca9503fdf542cb4"},
+    {file = "psycopg2-2.9.10-cp312-cp312-win32.whl", hash = "sha256:65a63d7ab0e067e2cdb3cf266de39663203d38d6a8ed97f5ca0cb315c73fe067"},
+    {file = "psycopg2-2.9.10-cp312-cp312-win_amd64.whl", hash = "sha256:4a579d6243da40a7b3182e0430493dbd55950c493d8c68f4eec0b302f6bbf20e"},
+    {file = "psycopg2-2.9.10-cp39-cp39-win32.whl", hash = "sha256:9d5b3b94b79a844a986d029eee38998232451119ad653aea42bb9220a8c5066b"},
+    {file = "psycopg2-2.9.10-cp39-cp39-win_amd64.whl", hash = "sha256:88138c8dedcbfa96408023ea2b0c369eda40fe5d75002c0964c78f46f11fa442"},
+    {file = "psycopg2-2.9.10.tar.gz", hash = "sha256:12ec0b40b0273f95296233e8750441339298e6a572f7039da5b260e3c8b60e11"},
+]
+
 [[package]]
 name = "ptyprocess"
 version = "0.7.0"
@@ -6259,6 +6278,11 @@ files = [
     {file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f60021ec1574e56632be2a36b946f8143bf4e5e6af4a06d85281adc22938e0dd"},
     {file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:394397841449853c2290a32050382edaec3da89e35b3e03d6cc966aebc6a8ae6"},
     {file = "scikit_learn-1.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:57cc1786cfd6bd118220a92ede80270132aa353647684efa385a74244a41e3b1"},
+    {file = "scikit_learn-1.5.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e9a702e2de732bbb20d3bad29ebd77fc05a6b427dc49964300340e4c9328b3f5"},
+    {file = "scikit_learn-1.5.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:b0768ad641981f5d3a198430a1d31c3e044ed2e8a6f22166b4d546a5116d7908"},
+    {file = "scikit_learn-1.5.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:178ddd0a5cb0044464fc1bfc4cca5b1833bfc7bb022d70b05db8530da4bb3dd3"},
+    {file = "scikit_learn-1.5.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7284ade780084d94505632241bf78c44ab3b6f1e8ccab3d2af58e0e950f9c12"},
+    {file = "scikit_learn-1.5.2-cp313-cp313-win_amd64.whl", hash = "sha256:b7b0f9a0b1040830d38c39b91b3a44e1b643f4b36e36567b80b7c6bd2202a27f"},
     {file = "scikit_learn-1.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:757c7d514ddb00ae249832fe87100d9c73c6ea91423802872d9e74970a0e40b9"},
     {file = "scikit_learn-1.5.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:52788f48b5d8bca5c0736c175fa6bdaab2ef00a8f536cda698db61bd89c551c1"},
     {file = "scikit_learn-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:643964678f4b5fbdc95cbf8aec638acc7aa70f5f79ee2cdad1eec3df4ba6ead8"},
@@ -7727,4 +7751,4 @@ weaviate = ["weaviate-client"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9.0,<3.12"
-content-hash = "75d65fd1b99bf9db84fe026d140f6cb05b02afd31d4ad82a6286076256bd7609"
+content-hash = "4cba654100a455c8691dd3d4e1b588f00bbb2acca89168954037017b3a6aced9"

pyproject.toml

@@ -38,7 +38,7 @@ greenlet = "^3.0.3"
 ruff = "^0.2.2"
 filetype = "^1.2.0"
 nltk = "^3.8.1"
-dlt = {extras = ["sqlalchemy"], version = "^1.0.0"}
+dlt = {extras = ["sqlalchemy"], version = "^1.2.0"}
 overrides = "^7.7.0"
 aiofiles = "^23.2.1"
 qdrant-client = "^1.9.0"
@@ -70,7 +70,7 @@ sentry-sdk = {extras = ["fastapi"], version = "^2.9.0"}
 fastapi-users = { version = "*", extras = ["sqlalchemy"] }
 asyncpg = "^0.29.0"
 alembic = "^1.13.3"
-
+psycopg2 = "^2.9.10"
 
 
 [tool.poetry.extras]
@@ -98,7 +98,6 @@ mkdocs-jupyter = "^0.24.6"
 mkdocs-minify-plugin = "^0.8.0"
 mkdocs-redirects = "^1.2.1"
 
-
 [tool.poetry.group.test-docs.dependencies]
 fastapi = "^0.109.2"
 diskcache = "^5.6.3"