LLM-ChatBot

Introduction

Welcome to DocumentChatBot, a chatbot that engages in conversations based on the content of the documents you upload. This project is built upon the RAG (Retrieval-Augmented Generation) Architecture, serving as its backbone to provide a robust and dynamic conversational experience

Architecture

DocumentChatBot is designed to facilitate conversations by analyzing and responding to the content of uploaded documents. The RAG Architecture employed in this project enhances the bot's ability to retrieve relevant information and generate coherent responses, resulting in an intelligent and context-aware conversational agent.

Features

• Document Interaction: Upload a document, and the chatbot will engage in conversations based on the document's content.
• RAG Architecture: The project leverages RAG Architecture, combining retrieval and generation techniques for improved conversational abilities.
• Dynamic Responses: The chatbot dynamically generates responses, adapting to the context within the document

To use the file, Clone the repository

git clone https://github.com/Raghul-G2002/LLM-ChatBot.git