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metadata
license: mit
title: Legal Advisor
emoji: π
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
- 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
License
This project is under MIT Licence
Contact
For any inquiries or feedback, please contact [Izam mohammed] at [izamdeveloper1@gmail.com].