RAG-Agent

RAG-Agent is a framework for implementing Retrieval Augmented Generation (RAG) along with function calling to enhance response quality of LLMs.

This repository contains code and examples for setting up and running RAG models. It includes:

• API: Tools and API interface for interacting with the structured data stored in MySQL.
• Data: Sample PDF representing unstructured data.
• Notebooks: Jupyter Notebooks demonstrating the implementation and use cases of RAG Agent.

1. Clone the repository:

   git clone https://github.com/janakiramm/rag-agent.git
   

2. Launch API Server:

   bash start_api_server.sh
   

3. Index the PDF: Follow the instructions in Index-Datasheet.ipynb.

4. Run the Agent: Follow the instructions in RAG-Agent.ipynb.

This project is licensed under the MIT License. See the LICENSE file for details.