bensonbabu93/rag-knowledge-assistant

A Retrieval Augmented Generation (RAG) document assistant that answers questions from uploaded documents using Sentence Transformers embeddings, FAISS vector search, and LLaMA 3 via the Groq API. Includes a Streamlit web interface with multi-document support and source attribution.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

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Language

Python

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Category

pdf-rag-qa-systems

Last pushed

Mar 15, 2026

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PDF RAG QA Systems · 118 tools

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