SagarMaddela/RAG-Powered-PDF-Assistant
An AI-driven assistant that enables users to interact with PDF documents through natural language queries. Leveraging Retrieval-Augmented Generation (RAG), this application combines the capabilities of React for the frontend and FastAPI for the backend to provide accurate and context-aware responses based on the content of uploaded PDFs.
No commits in the last 6 months.
Stars
—
Forks
—
Language
JavaScript
License
MIT
Category
Last pushed
Jun 18, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/SagarMaddela/RAG-Powered-PDF-Assistant"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nicolaric/rahmenabkommen-gpt
"Ask your question about the new framework agreement between Switzerland and the EU." Answers...
talkdai/dialog
RAG LLM Ops App for easy deployment and testing
ARUNAGIRINATHAN-K/pdf-RAG-question-answering
Upload PDFs → ask questions → get grounded answers.
Kesara03/knowledge-graph-rag-pipeline
Knowledge graph RAG system with LLM-powered entity extraction, Neo4j graph traversal, and hybrid...
fabao2024/Rag-doc-assistant
Production-ready Retrieval-Augmented Generation (RAG) system for PDF question-answering. Built...