Zlash65/rag-bot-fastapi

An end-to-end RAG chatbot using FastAPI, LangChain, ChromaDB & Streamlit with Multi-LLM support to answer questions from uploaded PDFs.

29
/ 100
Experimental

This tool helps you quickly get answers from your PDF documents by creating a chat interface where you can ask questions. You upload one or more PDFs, and it uses advanced AI to understand their content, allowing you to converse with the documents and retrieve precise information. It's designed for anyone who needs to extract insights from large or numerous PDF files, such as researchers, analysts, or legal professionals.

No commits in the last 6 months.

Use this if you need a production-ready system to chat with your PDF documents using a user-friendly interface and robust backend.

Not ideal if you're looking for a simple, single-script solution for personal use or if you don't require the complexity of a separate frontend and backend.

document-interrogation information-retrieval research-analysis pdf-chat knowledge-extraction
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 15 / 25
Community 8 / 25

How are scores calculated?

Stars

8

Forks

1

Language

Python

License

MIT

Last pushed

Jul 07, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/Zlash65/rag-bot-fastapi"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.