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metadata
license: mit
title: Legal Advisor
emoji: πŸ“š
colorFrom: gray
colorTo: blue
pinned: true
sdk: streamlit
app_file: app.py
short_description: A chatbot for asking Legal related information using Llama 2

Legal Chatbot LLM

Overview

This project is a Legal Chatbot powered by Large Language Models (LLM) and RAG model. It allows users to ask questions related to legal terms and receive accurate responses. The chatbot utilizes a RAG (Retrieval-Augmented Generation) model to enhance its performance.

Features

  • Utilizes LLM for natural language understanding and generation.
  • Integrates vector databases for efficient retrieval of legal information.
  • Implements a RAG model to combine retrieval and generation approaches for improved responses.
  • Allows users to ask questions related to legal terms and concepts.
  • Provides accurate and concise responses to user queries.
  • User-friendly interface for seamless interaction.

Usage

  1. Clone the repository to your local machine.
  2. Install the required dependencies specified in the requirements.txt file.
  3. Run the main script to start the chatbot.
  4. Enter your legal queries and interact with the chatbot to receive responses.

Technologies Used

  • Large Language Models (LLM)
  • Vector Databases
  • RAG (Retrieval-Augmented Generation) Model
  • Python

License

This project is under MIT Licence

Contact

For any inquiries or feedback, please contact [Izam mohammed] at [[email protected]].