mkmenta/rag-chatgpt
This is a simple lab I have implemented to test Knowledge Augmented or Retrieval Augmented Generation (RAG) with Large Language Models. In particular, I am using LangChain, Streamlit, and OpenAI ChatGPT API.
This tool helps you converse with an AI chatbot, like ChatGPT, using your own documents as its knowledge base. You input your documents and then ask questions directly through a simple web interface. The output is a conversational response from the AI that is specifically informed by the information in your provided files, making it useful for anyone needing to query specific information within their own text collections.
No commits in the last 6 months.
Use this if you want to ask questions to an AI about the content of your own documents and receive answers grounded in those specific texts.
Not ideal if you need a production-ready, highly maintained, or robust solution for large-scale document analysis or complex enterprise use cases.
Stars
10
Forks
5
Language
Python
License
—
Category
Last pushed
Dec 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/mkmenta/rag-chatgpt"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
ScrapeGraphAI/Scrapegraph-demo
Streamlit demo of Scrapegraph-ai for GPT4-hackaton
pnkvalavala/repochat
Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation
run-llama/rags
Build ChatGPT over your data, all with natural language
Caellwyn/long-memory-character-chat
A character chat with integrated medium and long-term memory
Daethyra/FreeStream
Prebuilt Streamlit/LangChain Agent with Tools and Memory