kazcfz/LlamaIndex-RAG-Chat
Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2
This tool helps you have a conversation with your PDF documents. You upload a PDF, and then you can ask questions or discuss its content in a chat format, getting answers directly from the information within your document. It's ideal for anyone needing to quickly extract insights or engage with information buried in lengthy reports, research papers, or manuals.
No commits in the last 6 months.
Use this if you need to quickly find information or discuss the content of a PDF document without manually sifting through its pages.
Not ideal if you need to summarize or extract information from a wide variety of document types beyond PDFs, or if you require advanced document analysis features.
Stars
17
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 24, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/kazcfz/LlamaIndex-RAG-Chat"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
run-llama/llama_index
LlamaIndex is the leading document agent and OCR platform
emarco177/documentation-helper
Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..
janus-llm/janus-llm
Leveraging LLMs for modernization through intelligent chunking, iterative prompting and...
JetXu-LLM/llama-github
Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and...
Vasallo94/ObsidianRAG
RAG system to query your Obsidian notes using LangGraph and local LLMs (Ollama)