cizodevahm/Q-A_with_RAG_LLM_LangChain

This project utilizes LangChain to process and analyze PDF documents for question-answering tasks. The primary functionality is to split, index, and query the text within PDF files to provide accurate and context-rich answers to user queries.

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Maturity 9 / 25
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Language

Jupyter Notebook

License

GPL-3.0

Category

pdf-rag-qa-systems

Last pushed

Aug 28, 2024

Commits (30d)

0

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PDF RAG QA Systems · 118 tools

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