MCP RAG

what is MCP RAG?

MCP RAG is a system that utilizes the MCP server to demonstrate a Retrieval-Augmented Generation (RAG) approach for enhancing data retrieval and generation tasks.

how to use MCP RAG?

To use MCP RAG, clone the repository from GitHub, set up the MCP server, and follow the instructions in the README to run the RAG system.

key features of MCP RAG?

• Integration with MCP server for enhanced data processing
• Demonstration of RAG techniques for improved information retrieval
• Open-source implementation for community contributions

use cases of MCP RAG?

1. Enhancing search capabilities in applications
2. Improving data generation for AI models
3. Supporting research in information retrieval techniques

FAQ from MCP RAG?

• What is the purpose of MCP RAG?

MCP RAG aims to showcase the capabilities of RAG systems using the MCP server for better data handling.

• Is MCP RAG free to use?

Yes! MCP RAG is open-source and free for anyone to use and contribute to.

• What programming language is used in MCP RAG?

MCP RAG is implemented in Python.