7d2bf78c81
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## Description
Adds a Neptune Analytics 'hybrid' integration layer to the Cognee.ai
memory storage layer. The following configuration will use Amazon
Neptune Analytics to store all nodes, edges, and vector embeddings for
the Cognee.ai memory conversation.
```
cognee.config.set_graph_db_config(
{
"graph_database_provider": "neptune_analytics", # Specify Neptune Analytics as provider
"graph_database_url": graph_endpoint_url, # Neptune Analytics endpoint with the format neptune-graph://<GRAPH_ID>
}
)
cognee.config.set_vector_db_config(
{
"vector_db_provider": "neptune_analytics", # Specify Neptune Analytics as provider
"vector_db_url": graph_endpoint_url, # Neptune Analytics endpoint with the format neptune-graph://<GRAPH_ID>
}
)
```
For example, see
[neptune_analytics_example.py](08a3a1d2a8/examples/database_examples/neptune_analytics_example.py)
Related: https://github.com/topoteretes/cognee-starter/pull/11
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
---------
Signed-off-by: Andrew Carbonetto <andrew.carbonetto@improving.com>
Signed-off-by: Andy Kwok <andy.kwok@improving.com>
Co-authored-by: Andy Kwok <andy.kwok@improving.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
188 lines
4.9 KiB
TOML
188 lines
4.9 KiB
TOML
[project]
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name = "cognee"
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version = "0.2.1"
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description = "Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning."
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authors = [
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{ name = "Vasilije Markovic" },
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{ name = "Boris Arzentar" },
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]
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requires-python = ">=3.10,<=3.13"
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readme = "README.md"
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license = "Apache-2.0"
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"License :: OSI Approved :: Apache Software License",
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"Topic :: Software Development :: Libraries",
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"Operating System :: MacOS :: MacOS X",
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"Operating System :: POSIX :: Linux",
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"Operating System :: Microsoft :: Windows",
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]
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dependencies = [
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"openai>=1.80.1,<2",
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"python-dotenv>=1.0.1,<2.0.0",
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"pydantic>=2.10.5,<3.0.0",
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"pydantic-settings>=2.2.1,<3",
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"typing_extensions>=4.12.2,<5.0.0",
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"nltk>=3.9.1,<4.0.0",
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"numpy>=1.26.4, <=4.0.0",
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"pandas>=2.2.2,<3.0.0",
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# Note: New s3fs and boto3 versions don't work well together
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# Always use comaptible fixed versions of these two dependencies
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"s3fs[boto3]==2025.3.2",
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"sqlalchemy>=2.0.39,<3.0.0",
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"aiosqlite>=0.20.0,<1.0.0",
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"tiktoken>=0.8.0,<1.0.0",
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"litellm>=1.57.4, <1.71.0",
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"instructor>=1.9.1,<2.0.0",
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"langfuse>=2.32.0,<3",
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"filetype>=1.2.0,<2.0.0",
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"aiohttp>=3.11.14,<4.0.0",
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"aiofiles>=23.2.1,<24.0.0",
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"rdflib>=7.1.4,<7.2.0",
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"pypdf>=4.1.0,<6.0.0",
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"jinja2>=3.1.3,<4",
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"matplotlib>=3.8.3,<4",
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"networkx>=3.4.2,<4",
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"lancedb>=0.24.0,<1.0.0",
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"alembic>=1.13.3,<2",
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"pre-commit>=4.0.1,<5",
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"scikit-learn>=1.6.1,<2",
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"limits>=4.4.1,<5",
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"fastapi>=0.115.7,<1.0.0",
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"python-multipart>=0.0.20,<1.0.0",
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"fastapi-users[sqlalchemy]>=14.0.1,<15.0.0",
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"dlt[sqlalchemy]>=1.9.0,<2",
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"sentry-sdk[fastapi]>=2.9.0,<3",
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"structlog>=25.2.0,<26",
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"pympler>=1.1,<2.0.0",
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"onnxruntime>=1.0.0,<2.0.0",
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"pylance>=0.22.0,<1.0.0",
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"kuzu (==0.11.0)"
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]
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[project.optional-dependencies]
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api = [
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"uvicorn>=0.34.0,<1.0.0",
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"gunicorn>=20.1.0,<24",
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"websockets>=15.0.1,<16.0.0"
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]
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distributed = [
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"modal>=1.0.5,<2.0.0",
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]
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qdrant = ["qdrant-client>=1.14.2,<2"]
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neo4j = ["neo4j>=5.28.0,<6"]
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neptune = ["langchain_aws>=0.2.22"]
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postgres = [
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"psycopg2>=2.9.10,<3",
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"pgvector>=0.3.5,<0.4",
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"asyncpg>=0.30.0,<1.0.0",
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]
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postgres-binary = [
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"psycopg2-binary>=2.9.10,<3.0.0",
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"pgvector>=0.3.5,<0.4",
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"asyncpg>=0.30.0,<1.0.0",
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]
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notebook = ["notebook>=7.1.0,<8"]
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langchain = [
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"langsmith>=0.2.3,<1.0.0",
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"langchain_text_splitters>=0.3.2,<1.0.0",
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]
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llama-index = ["llama-index-core>=0.12.11,<0.13"]
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gemini = ["google-generativeai>=0.8.4,<0.9"]
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huggingface = ["transformers>=4.46.3,<5"]
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ollama = ["transformers>=4.46.3,<5"]
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mistral = ["mistral-common>=1.5.2,<2"]
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anthropic = ["anthropic>=0.26.1,<0.27"]
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deepeval = ["deepeval>=2.0.1,<3"]
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posthog = ["posthog>=3.5.0,<4"]
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falkordb = ["falkordb>=1.0.9,<2.0.0"]
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groq = ["groq>=0.8.0,<1.0.0"]
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chromadb = [
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"chromadb>=0.3.0,<0.7",
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"pypika==0.48.8",
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]
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docs = ["unstructured[csv, doc, docx, epub, md, odt, org, ppt, pptx, rst, rtf, tsv, xlsx]>=0.18.1,<19"]
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codegraph = [
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"fastembed<=0.6.0 ; python_version < '3.13'",
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"transformers>=4.46.3,<5",
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"tree-sitter>=0.24.0,<0.25",
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"tree-sitter-python>=0.23.6,<0.24",
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]
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evals = [
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"plotly>=6.0.0,<7",
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"gdown>=5.2.0,<6",
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]
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gui = [
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"pyside6>=6.8.3,<7",
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"qasync>=0.27.1,<0.28",
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]
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graphiti = ["graphiti-core>=0.7.0,<0.8"]
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# Note: New s3fs and boto3 versions don't work well together
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# Always use comaptible fixed versions of these two dependencies
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aws = ["s3fs[boto3]==2025.3.2"]
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dev = [
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"pytest>=7.4.0,<8",
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"pytest-cov>=6.1.1,<7.0.0",
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"pytest-asyncio>=0.21.1,<0.22",
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"coverage>=7.3.2,<8",
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"mypy>=1.7.1,<2",
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"notebook>=7.1.0,<8",
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"deptry>=0.20.0,<0.21",
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"pylint>=3.0.3,<4",
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"ruff>=0.9.2,<1.0.0",
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"tweepy>=4.14.0,<5.0.0",
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"gitpython>=3.1.43,<4",
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"mkdocs-material>=9.5.42,<10",
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"mkdocs-minify-plugin>=0.8.0,<0.9",
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"mkdocstrings[python]>=0.26.2,<0.27",
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]
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debug = ["debugpy>=1.8.9,<2.0.0"]
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[project.urls]
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Homepage = "https://www.cognee.ai"
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Repository = "https://github.com/topoteretes/cognee"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build]
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exclude = [
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"/bin",
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"/dist",
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"/.data",
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"/.github",
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"/alembic",
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"/deployment",
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"/cognee-mcp",
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"/cognee-frontend",
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"/examples",
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"/helm",
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"/licenses",
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"/logs",
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"/notebooks",
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"/profiling",
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"/tests",
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"/tools",
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]
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[tool.hatch.build.targets.wheel]
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packages = ["cognee", "distributed"]
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[tool.ruff]
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line-length = 100
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exclude = [
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"migrations/", # Ignore migrations directory
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"notebooks/", # Ignore notebook files
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"build/", # Ignore build directory
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"cognee/pipelines.py",
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"cognee/modules/users/models/Group.py",
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"cognee/modules/users/models/ACL.py",
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"cognee/modules/pipelines/models/Task.py",
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"cognee/modules/data/models/Dataset.py"
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]
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[tool.ruff.lint]
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ignore = ["F401"]
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