RAG Config Generator MCP
RAG Config Generator MCP
一个基于自然语言描述生成 RAG(检索增强生成)流水线配置的 MCP(模型上下文协议)服务器。
在线演示
API: Vercel 部署
Related MCP server: Chalee MCP RAG
功能特性
生成完整配置:用自然语言描述你的 RAG 用例
分块策略:根据文档类型获取分块建议
嵌入模型:根据用例和预算获取嵌入模型建议
向量存储:根据数据规模和延迟获取向量存储建议
API 端点
端点 | 描述 |
| 服务器信息 |
| 生成完整 RAG 配置 |
| 分块建议 |
| 嵌入模型建议 |
| 向量存储建议 |
安装
pip install -r requirements.txt使用
运行 Gradio UI
python app.py在 http://localhost:7860 打开
运行 MCP 服务器
python server.pyMCP 服务器将在 http://localhost:8000/mcp 可用
项目结构
mcp/
├── server.py # FastAPI + MCP server
├── rag_configs.py # RAG config templates and logic
├── app.py # Gradio UI
├── api/
│ └── index.py # Vercel serverless function
├── requirements.txt # Python dependencies
├── vercel.json # Vercel configuration
└── README.md # Documentation技术栈
后端:Python、FastAPI、FastAPI-MCP
前端:Gradio、HTML/CSS/JS
部署:Vercel(API)、Hugging Face Spaces(UI)
许可证
MIT
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Maintenance
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