kbhujbal/KnowledgeAssist-Retrieval-Augmented-Generation-RAG-Document-QA-System

A full-stack RAG application that enables intelligent document Q&A. Upload PDFs, DOCX, or TXT files and ask questions powered by LangChain, ChromaDB, and Claude/GPT. Features smart chunking, semantic search, conversation memory, and source citations. Built with FastAPI & React + TypeScript.

17
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 2 / 25
Maturity 9 / 25
Community 0 / 25

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2

Forks

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Language

Python

License

MIT

Category

local-pdf-rag-systems

Last pushed

Nov 21, 2025

Commits (30d)

0

GitHub
Local PDF RAG Systems · 65 tools

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