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

Clone the repository to your local machine.
Install the required dependencies specified in the requirements.txt file.
Run the main script to start the chatbot.
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

Installation

git clone https://github.com/your_username/legal-chatbot.git
cd legal-chatbot
pip install -r requirements.txt
python app.py

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

Fork the repository.
Create a new branch (git checkout -b feature/improvement).
Make your changes.
Commit your changes (git commit -am 'Add new feature').
Push to the branch (git push origin feature/improvement).
Create a new Pull Request.

License

This project is under MIT Licence

Contact

For any inquiries or feedback, please contact [Izam mohammed] at [izamdeveloper1@gmail.com].