RAG-MCP Pipeline Research

Example Use Cases

• 1

  Integrate LLMs with external business software APIs without paid API keys.

• 2

  Run AI models locally using free and open-source resources.

• 3

  A step-by-step research and development framework for RAG and MCP server concepts.

Description

This repository provides a structured learning path and practical examples for integrating Large Language Models with external services via MCP servers, focusing on business applications like accounting software integration. It emphasizes running everything locally with free Hugging Face models, avoiding paid APIs, and includes comprehensive documentation for beginners. The project aims to build prototype integrations, develop AI-powered data processing frameworks, and share best practices.