116 lines
3.4 KiB
TOML
116 lines
3.4 KiB
TOML
[tool.poetry]
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name = "cognee"
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version = "0.1.19"
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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 = ["Vasilije Markovic", "Boris Arzentar"]
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readme = "README.md"
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license = "Apache-2.0"
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homepage = "https://www.cognee.ai"
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repository = "https://github.com/topoteretes/cognee"
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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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[tool.poetry.dependencies]
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python = ">=3.9.0,<3.12"
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openai = "1.52.0"
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pydantic = "2.8.2"
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python-dotenv = "1.0.1"
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fastapi = "^0.109.2"
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uvicorn = "0.22.0"
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requests = "2.32.3"
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aiohttp = "3.10.10"
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typing_extensions = "4.12.2"
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nest_asyncio = "1.6.0"
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numpy = "1.26.4"
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datasets = "3.1.0"
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falkordb = {version = "1.0.9", optional = true}
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boto3 = "^1.26.125"
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botocore="^1.35.54"
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gunicorn = "^20.1.0"
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sqlalchemy = "2.0.35"
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instructor = "1.5.2"
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networkx = "^3.2.1"
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aiosqlite = "^0.20.0"
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pandas = "2.0.3"
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filetype = "^1.2.0"
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nltk = "^3.8.1"
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dlt = {extras = ["sqlalchemy"], version = "^1.3.0"}
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aiofiles = "^23.2.1"
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qdrant-client = {version = "^1.9.0", optional = true}
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graphistry = "^0.33.5"
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tenacity = "^8.4.1"
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weaviate-client = {version = "4.6.7", optional = true}
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scikit-learn = "^1.5.0"
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pypdf = "^4.1.0"
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neo4j = {version = "^5.20.0", optional = true}
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jinja2 = "^3.1.3"
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matplotlib = "^3.8.3"
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tiktoken = "0.7.0"
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langchain_text_splitters = {version = "0.3.2", optional = true}
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langsmith = {version = "0.1.139", optional = true}
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langdetect = "1.0.9"
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posthog = {version = "^3.5.0", optional = true}
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lancedb = "0.15.0"
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litellm = "1.49.1"
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groq = {version = "0.8.0", optional = true}
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langfuse = {version = "^2.32.0", optional = true}
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pydantic-settings = "^2.2.1"
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anthropic = "^0.26.1"
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sentry-sdk = {extras = ["fastapi"], version = "^2.9.0"}
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fastapi-users = {version = "*", extras = ["sqlalchemy"]}
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alembic = "^1.13.3"
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asyncpg = {version = "0.30.0", optional = true}
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pgvector = {version = "^0.3.5", optional = true}
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psycopg2 = {version = "^2.9.10", optional = true}
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llama-index-core = {version = "^0.11.22", optional = true}
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pymilvus = {version = "^2.5.0", optional = true}
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[tool.poetry.extras]
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filesystem = ["s3fs", "botocore"]
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weaviate = ["weaviate-client"]
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qdrant = ["qdrant-client"]
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neo4j = ["neo4j"]
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postgres = ["psycopg2", "pgvector", "asyncpg"]
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notebook = ["notebook", "ipykernel", "overrides", "ipywidgets", "jupyterlab", "jupyterlab_widgets", "jupyterlab-server", "jupyterlab-git"]
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langchain = ["langsmith", "langchain_text_splitters"]
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llama-index = ["llama-index-core"]
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posthog = ["posthog"]
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falkordb = ["falkordb"]
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groq = ["groq"]
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langfuse = ["langfuse"]
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milvus = ["pymilvus"]
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[tool.poetry.group.dev.dependencies]
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pytest = "^7.4.0"
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pytest-asyncio = "^0.21.1"
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coverage = "^7.3.2"
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mypy = "^1.7.1"
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notebook = {version = "^7.1.1", optional = true}
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deptry = "^0.20.0"
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debugpy = "1.8.2"
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pylint = "^3.0.3"
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ruff = "^0.2.2"
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tweepy = "4.14.0"
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[tool.poetry.group.docs.dependencies]
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mkdocs-material = "^9.5.42"
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mkdocs-minify-plugin = "^0.8.0"
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mkdocstrings = {extras = ["python"], version = "^0.26.2"}
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[tool.ruff] # https://beta.ruff.rs/docs/
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line-length = 100
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ignore = ["F401"]
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ignore-init-module-imports = true
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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