sebrauschert / LLM-RAG

This repo demonstrates the development of Retrieval Augmented Generation (RAG).

LLM-RAG

This repo demonstrates the development of Retrieval-Augmented Generation (RAG). RAG enables LLM to generate answer text based on custom documents. This repo also presents the RAG as a chatbot in Streamlit app.

Below is the diagram of the development

How to Run the App

streamlit run rag_chatbot.py

Interface Display

The Article

The article discussing the process of developing this application:

RAG and Streamlit Chatbot: Chat with Documents Using LLM