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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "cognee"
version = "0.1.20"
description = "Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning."
authors = ["Vasilije Markovic", "Boris Arzentar"]
readme = "README.md"
license = "Apache-2.0"
homepage = "https://www.cognee.ai"
repository = "https://github.com/topoteretes/cognee"
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Topic :: Software Development :: Libraries",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX :: Linux",
"Operating System :: Microsoft :: Windows"
]
[tool.poetry.dependencies]
python = ">=3.9.0,<3.12"
openai = "1.52.0"
pydantic = "2.8.2"
python-dotenv = "1.0.1"
fastapi = ">=0.109.2,<0.116.0"
uvicorn = "0.22.0"
requests = "2.32.3"
aiohttp = "3.10.10"
typing_extensions = "4.12.2"
nest_asyncio = "1.6.0"
numpy = "1.26.4"
datasets = "3.1.0"
falkordb = {version = "1.0.9", optional = true}
boto3 = "^1.26.125"
botocore="^1.35.54"
gunicorn = "^20.1.0"
sqlalchemy = "2.0.35"
instructor = "1.5.2"
networkx = "^3.2.1"
aiosqlite = "^0.20.0"
pandas = "2.0.3"
filetype = "^1.2.0"
nltk = "^3.8.1"
dlt = {extras = ["sqlalchemy"], version = "^1.4.1"}
aiofiles = "^23.2.1"
qdrant-client = {version = "^1.9.0", optional = true}
graphistry = "^0.33.5"
tenacity = "^8.4.1"
weaviate-client = {version = "4.9.6", optional = true}
scikit-learn = "^1.5.0"
pypdf = "^4.1.0"
neo4j = {version = "^5.20.0", optional = true}
jinja2 = "^3.1.3"
matplotlib = "^3.8.3"
tiktoken = "0.7.0"
langchain_text_splitters = {version = "0.3.2", optional = true}
langsmith = {version = "0.2.3", optional = true}
langdetect = "1.0.9"
posthog = {version = "^3.5.0", optional = true}
lancedb = "0.15.0"
litellm = "1.49.1"
groq = {version = "0.8.0", optional = true}
langfuse = "^2.32.0"
pydantic-settings = "^2.2.1"
anthropic = "^0.26.1"
sentry-sdk = {extras = ["fastapi"], version = "^2.9.0"}
fastapi-users = {version = "*", extras = ["sqlalchemy"]}
alembic = "^1.13.3"
asyncpg = {version = "0.30.0", optional = true}
pgvector = {version = "^0.3.5", optional = true}
psycopg2 = {version = "^2.9.10", optional = true}
llama-index-core = {version = "^0.11.22", optional = true}
deepeval = {version = "^2.0.1", optional = true}
transformers = "^4.46.3"
pymilvus = {version = "^2.5.0", optional = true}
unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], version = "^0.16.10", optional = true }
httpx = "0.27.0"
[tool.poetry.extras]
filesystem = ["s3fs", "botocore"]
weaviate = ["weaviate-client"]
qdrant = ["qdrant-client"]
neo4j = ["neo4j"]
postgres = ["psycopg2", "pgvector", "asyncpg"]
notebook = ["notebook", "ipykernel", "overrides", "ipywidgets", "jupyterlab", "jupyterlab_widgets", "jupyterlab-server", "jupyterlab-git"]
langchain = ["langsmith", "langchain_text_splitters"]
llama-index = ["llama-index-core"]
deepeval = ["deepeval"]
posthog = ["posthog"]
falkordb = ["falkordb"]
groq = ["groq"]
langfuse = ["langfuse"]
milvus = ["pymilvus"]
docs = ["unstructured"]
[tool.poetry.group.dev.dependencies]
pytest = "^7.4.0"
pytest-asyncio = "^0.21.1"
coverage = "^7.3.2"
mypy = "^1.7.1"
notebook = {version = "^7.1.0", optional = true}
deptry = "^0.20.0"
debugpy = "1.8.9"
pylint = "^3.0.3"
ruff = ">=0.2.2,<0.9.0"
tweepy = "4.14.0"
gitpython = "^3.1.43"
[tool.poetry.group.docs.dependencies]
mkdocs-material = "^9.5.42"
mkdocs-minify-plugin = "^0.8.0"
mkdocstrings = {extras = ["python"], version = "^0.26.2"}
[tool.ruff] # https://beta.ruff.rs/docs/
line-length = 100
ignore = ["F401"]
ignore-init-module-imports = true
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"