769d6b5080
Add possibility to create a new Vector memory and store text data points using openai embeddings.
50 lines
1.3 KiB
TOML
50 lines
1.3 KiB
TOML
[tool.poetry]
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name = "cognee"
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version = "0.1.0"
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description = "Cognee cognitive architecture is a library for enriching LLM context with a semantic layer"
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authors = ["Vasilije Markovic"]
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readme = "README.md"
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license = "Apache-2.0"
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homepage = "https://github.com/topoteretes/cognee"
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repository = "https://www.cognee.ai"
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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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[tool.poetry.dependencies]
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python = "^3.10"
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langchain = "^0.0.338"
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openai = "1.3.3"
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python-dotenv = "1.0.0"
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fastapi = "0.104.1"
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uvicorn = "0.22.0"
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boto3 = "^1.26.125"
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gunicorn = "^20.1.0"
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weaviate-client = "4.4b1"
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sqlalchemy = "^2.0.21"
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asyncpg = "^0.28.0"
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instructor = "^0.3.4"
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networkx = "^3.2.1"
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graphviz = "^0.20.1"
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neo4j = "^5.14.1"
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langdetect = "^1.0.9"
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iso639 = "^0.1.4"
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debugpy = "^1.8.0"
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lancedb = "^0.5.5"
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pyarrow = "^15.0.0"
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pylint = "^3.0.3"
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qdrant-client = "^1.7.3"
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aiosqlite = "^0.20.0"
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pymupdf = "^1.23.25"
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pandas = "^2.2.1"
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greenlet = "^3.0.3"
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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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