yashh2417/rag-assistant

An in production RAG (Retrieval-Augmented Generation) web application that leverages Google Gemini Pro for question answering using user-uploaded PDFs or CSVs. Built with FastAPI, LangChain, Pinecone, and LangSmith for robust LLMOps, and deployed using Docker, GitHub Actions, and Render.

10
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 1 / 25
Maturity 7 / 25
Community 0 / 25

How are scores calculated?

Stars

1

Forks

—

Language

Jupyter Notebook

License

—

Category

gemini-document-rag

Last pushed

Sep 30, 2025

Commits (30d)

0

GitHub
Gemini Document Rag · 9 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/yashh2417/rag-assistant"

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

Higher-rated alternatives

nhdandz/RRI

A personalized research intelligence platform that helps researchers discover, organize, and...

25

Swaraj-Mandre/RAG-KNOWLEDGE-SYSTEM

AI-powered RAG system that answers questions from your own documents using Gemini 2.5 Flash,...

23

nithinraj49/banking-compliance-rag-chatbot

AI-powered RAG chatbot for banking regulations and compliance queries. Built with LangChain,...

21

milanlazarevic/AI-agent-for-PDF

RAG AI agent for PDF querying with Gemini LLM API and chroma vector database

19

dark-horiznz/AI-Research-Assistant-RAG

This Streamlit application serves as a comprehensive AI-powered research tool featuring three...

17

Explore RAG Tools

All categories Trending RAG directory Insights