thinktecture-labs/rag-chat-with-pdf-local-llm
Simple demo for chatting with a PDF - and optionally point the RAG implementation to a local LLM
This tool helps you quickly get answers and insights from your PDF documents by allowing you to "chat" with them. You provide a PDF file and ask questions in plain language, receiving relevant information extracted from the document in response. It's designed for anyone who needs to extract specific details or summarize content from lengthy PDFs without manually sifting through pages.
No commits in the last 6 months.
Use this if you frequently need to find information or comprehend the contents of PDF reports, manuals, or articles without extensive reading.
Not ideal if you need to edit or create new PDF documents, as this tool is focused solely on information retrieval and summarization.
Stars
28
Forks
2
Language
Python
License
MIT
Category
Last pushed
Nov 29, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/thinktecture-labs/rag-chat-with-pdf-local-llm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
watat83/document-chat-system
Open-source document chat platform with semantic search, RAG (Retrieval Augmented Generation),...
amscotti/local-LLM-with-RAG
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
ranfysvalle02/Interactive-RAG
An interactive RAG agent built with LangChain and MongoDB Atlas. Manage your knowledge base,...
ChatFAQ/ChatFAQ
Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.
MFYDev/odoo-expert
RAG-powered documentation assistant that converts, processes, and provides semantic search...