Queen-esther01/RAG-Langchain
RAG-powered PDF Q&A app built with LangChain, OpenAI GPT-4o, ChromaDB and Streamlit. Upload a PDF, ask questions, get grounded answers.
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Feb 27, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/Queen-esther01/RAG-Langchain"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
VectifyAI/PageIndex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
thearpankumar/GPUaccelerated-multilingual-RAG
GPU - vector DB - AI-powered document processing platform for financial services. Features...
justine-george/ai-markdown-llm-retrieval
AI-powered document query system using LangChain, ChromaDB, and OpenAI for efficient RAG-based...
0x5h31d0n/Bajaj-Hackrx
A RAG model that takes document input and answers query related pertaining to the document
KayraBulbul/NSW-Crime-RAG-System
A RAG application for analysing NSW crime statistics using LangChain, OpenAI embeddings,...