An LLM Agent equipped with the power of Retrieval Augmented Generation or RAG that helps you in your queries about the lastest 2024 Budget of Pakistan.
You can access the the deployed web app here.
This web application leverages Retrieval-Augmented Generation (RAG) using the Meta LLaMA 8B Instruct model API to answer your queries regarding the latest 2024 Budget of Pakistan. The app provides insightful and up-to-date information, making it easier for users to understand and navigate the complexities of the budget.
Real-time Query Resolution: Get instant answers to your questions about the 2024 Pakistan Budget.
Advanced AI Integration: Utilizes the Meta LLaMA 8B Instruct model for accurate and comprehensive responses.
User-friendly Interface: Easy to navigate and use, ensuring a smooth experience for all users.
Embedding model : All-Mpnet-base-v2
LLM API : Meta-LLaMA-3-8B-Instruct
Data For RAG : Used Budget data from FBR website.
Frontend : Streamlit
Contributions are welcome! Please follow these steps:
Fork the repository.
Create a new branch (git checkout -b feature-branch).
Make your changes and commit (git commit -m 'Add some feature').
Push to the branch (git push origin feature-branch).
Open a pull request.