Rag Pipeline Research
Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
关于
This repository provides a structured learning path for integrating Large Language Models (LLMs) with external services through MCP servers, focusing on business applications like accounting software integration. It uses free Hugging Face models, enabling local execution without external dependencies. The project includes comprehensive documentation, practical examples, and covers AI modeling, LLM integration, deployment strategies, MCP server deep dives, API integration, and RAG techniques.
主要功能
- Comprehensive step-by-step documentation for beginners
- Uses free Hugging Face models (no paid API keys required)
- 0 GitHub stars
- Runs locally without external dependencies
- Provides practical examples with working code
使用案例
- Developing a framework for AI-powered data entry and processing
- Building prototype integrations with business software
- Creating documentation and best practices for future implementations
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