drisskhattabi6/Chat-with-PDF-Locally
Chat with PDF locally: An advanced chatbot using Ollama / Sambanova LLMs to interactively extract information from PDFs, Using Streamlit & Ollama / Sambanova API and langchain
This tool helps you quickly extract specific information from long PDF documents by letting you ask questions about their content. You upload a PDF, and then you can chat with it, getting answers directly from the document. Anyone who needs to get fast answers from reports, manuals, or research papers without reading through everything would find this useful.
No commits in the last 6 months.
Use this if you frequently need to find specific facts or summarize sections from large PDF files quickly.
Not ideal if you need to edit or deeply analyze the PDF's structure or design rather than just its textual content.
Stars
18
Forks
8
Language
Python
License
—
Category
Last pushed
May 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/drisskhattabi6/Chat-with-PDF-Locally"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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.