LLM Chatbot

LLM chatbot with Retrieval Augmented Generation (RAG), built using Langchain and Chainlit

• To use the basic version of the chatbot, run the following:

chainlit run chatbot.py

• To use the version of the chatbot with RAG, run the following:

chainlit run chatbot_rag.py

The code requires making a .env file in the main folder directory with a Huggingface API Token defined as:

HUGGINGFACEHUB_API_TOKEN = <your-key>

The RAG verson of the chatbot will read all pdf files placed in the database folder.