kiritoInd/RAG_over_LLM_for_pdf_ChatBot_Free
Retrieval-Augmented Generation on PDF for Free, Integrated with Memory to recall previous interactions, it operates as a sophisticated lang-chain application.
This tool helps you quickly get answers and insights from your PDF documents by having a natural conversation with them. You upload a PDF document, and then you can ask questions about its content. It's designed for anyone who needs to extract information efficiently from long or complex PDFs without manually searching.
No commits in the last 6 months.
Use this if you frequently need to find specific information or understand key points from large PDF reports, manuals, or research papers.
Not ideal if you need to process scanned images of documents rather than text-searchable PDFs, or if you require advanced document editing capabilities.
Stars
16
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jul 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/kiritoInd/RAG_over_LLM_for_pdf_ChatBot_Free"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
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....
couchbase-examples/rag-demo
A RAG demo using LangChain that allows you to chat with your uploaded PDF documents
Isa1asN/local-rag
Local rag using ollama, langchain and chroma.