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RAG Config Generator MCP

by Bisma474
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Python
Remote

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

Related MCP server: Pipelex MCP Server

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

GET /

服务器信息

GET /generate-rag-config?description=...

生成完整 RAG 配置

GET /suggest-chunking?doc_type=...&doc_size=...

分块建议

GET /suggest-embeddings?use_case=...&budget=...

嵌入模型建议

GET /suggest-vector-store?data_size=...&latency=...

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.py

MCP 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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