RAG System with PDF Upload and Chatbot

Overview

This project implements a Retrieve and Generate (RAG) system that allows users to upload PDF documents and interact with a chatbot powered by the Mistral LLM. The system leverages Streamlit for a user-friendly interface.

Features

• PDF Upload: Users can upload PDF files through the Streamlit interface.
• Chatbot Interaction: Ask questions related to the content of the uploaded PDF.
• Mistral LLM Integration: Utilizes the Mistral language model for generating responses.

Technologies

• Streamlit: For building the web-based user interface.
• Mistral LLM: For natural language understanding and response generation.
• Python: Primary programming language.

Getting Started

Prerequisites

• Python 3.8+
• Required Python packages (see requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/your-repo.git

2. Navigate to the project directory:

   cd your-repo

3. Run the Streamlit app:

   streamlit run streamlit_app.py

4. Open the provided URL in your web browser to interact with the application.

Usage

1. Upload a PDF file using the provided interface.
2. Ask questions related to the content of the PDF.
3. Receive responses generated by the Mistral LLM.