fabao2024/Rag-doc-assistant
Production-ready Retrieval-Augmented Generation (RAG) system for PDF question-answering. Built with LangChain LCEL, OpenAI GPT-3.5, and ChromaDB vector store. Features smart chunking, persistent storage, and source tracking. CLI included.
Stars
6
Forks
1
Language
Python
License
MIT
Category
Last pushed
Feb 17, 2026
Commits (30d)
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