chitralputhran/Advanced-RAG-LangGraph
Advanced-RAG-LangGraph is a Streamlit-based web application that implements an advanced Retrieval-Augmented Generation (RAG) pipeline using LangGraph, ChromaDB, and Tavily to enable interactive document-based Q&A with enhanced retrieval and error-handling capabilities.
This web application helps you quickly get answers from your business documents like PDFs, Word files, and Excel spreadsheets. You upload your files, then ask questions, and it provides accurate answers, even searching online if needed. It's designed for anyone who needs to extract information from multiple documents without manually sifting through them.
No commits in the last 6 months.
Use this if you frequently need to find specific information across a collection of internal documents and want a system that can also search the web when your files don't have the answer.
Not ideal if you primarily work with highly sensitive data that cannot be processed by external language models or if you require an offline-only solution.
Stars
28
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jul 16, 2025
Commits (30d)
0
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