couchbase-examples/rag-demo
A RAG demo using LangChain that allows you to chat with your uploaded PDF documents
This tool helps professionals quickly find answers within their uploaded PDF documents. You input one or more PDFs and ask questions in a chat interface, receiving summarized answers based on your documents. It's designed for anyone needing to efficiently extract information from custom PDF content without manually sifting through pages.
Use this if you need to rapidly query and get answers from your specific PDF documents, like research papers, reports, or manuals.
Not ideal if you need to chat with general knowledge, or if your documents are not in PDF format.
Stars
20
Forks
12
Language
Python
License
MIT
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/couchbase-examples/rag-demo"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
vndee/local-assistant-examples
Build your own ChatPDF and run it locally
datvodinh/rag-chatbot
Chat with multiple PDFs locally
shibing624/ChatPDF
RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF....
Isa1asN/local-rag
Local rag using ollama, langchain and chroma.
ikantkode/pdfLLM
pdfLLM is a completely open source, proof of concept RAG app.