mirror of
https://github.com/QuivrHQ/quivr.git
synced 2024-09-11 14:36:35 +03:00
f656dbcb42
This pull request adds the flashrank and contextual compression retriever to the codebase. The flashrank reranker model is used for compression, and the contextual compression retriever combines the base compressor and base retriever to improve document retrieval.
71 lines
1.2 KiB
TOML
71 lines
1.2 KiB
TOML
[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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langchain = "*"
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litellm = "*"
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openai = "*"
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gitpython = "*"
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pdf2image = "*"
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nest-asyncio = "*"
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pypdf = "*"
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supabase = "*"
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tiktoken = "*"
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fastapi = "*"
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python-multipart = "*"
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uvicorn = "*"
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pypandoc = "*"
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docx2txt = "*"
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python-jose = "*"
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asyncpg = "*"
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flake8 = "*"
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flake8-black = "*"
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sentry-sdk = {extras = ["fastapi"] }
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pyright = "*"
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resend = "*"
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html5lib = "*"
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beautifulsoup4 = "*"
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newspaper3k = "*"
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xlrd = "*"
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redis = "*"
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flower = "*"
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boto3 = "*"
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botocore = "*"
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python-dotenv = "*"
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pytest-mock = "*"
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pytest-celery = "*"
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pytesseract = "*"
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async-generator = "*"
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posthog = "*"
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jq = "*"
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pytest = "*"
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watchdog = "*"
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langchain-community = "*"
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langchain-openai = "*"
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pydantic-settings = "*"
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langfuse = "*"
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pandasai = "*"
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colorlog = "*"
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psycopg2-binary = "*"
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psycopg2 = "*"
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celery = {extras = ["redis", "sqs"], version = "*"}
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unstructured = {extras = ["all-docs"], version = "*"}
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llama-parse = "*"
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llama-index = "*"
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lxml = {extras = ["html_clean"], version = "*"}
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ragas = "*"
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datasets = "*"
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pytest-dotenv = "*"
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fpdf2 = "*"
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unidecode = "*"
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flashrank = "*"
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langchain-cohere = "*"
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[dev-packages]
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black = "*"
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[requires]
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python_version = "3.11"
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