RAG Config Generator MCP
RAG Config Generator MCP
Сервер MCP (Model Context Protocol), который генерирует конфигурации конвейеров RAG (Retrieval-Augmented Generation) на основе описаний на естественном языке.
Живое демо
API: Vercel Deployment
Related MCP server: Chalee MCP RAG
Возможности
Полная генерация конфигурации: опишите ваш сценарий использования RAG на естественном языке
Стратегия чанкинга: получите рекомендации по чанкингу на основе типа документа
Эмбеддинги: получите рекомендации по моделям эмбеддингов на основе сценария использования и бюджета
Векторное хранилище: получите рекомендации по векторному хранилищу на основе размера данных и задержки
Эндпоинты API
Endpoint | Description |
| Информация о сервере |
| Сгенерировать полную конфигурацию RAG |
| Рекомендации по чанкингу |
| Рекомендации по эмбеддингам |
| Рекомендации по векторному хранилищу |
Установка
pip install -r requirements.txtИспользование
Запустить интерфейс Gradio
python app.pyОткрывается по адресу http://localhost:7860
Запустить MCP-сервер
python server.pyMCP-сервер будет доступен по адресу http://localhost:8000/mcp
Структура проекта
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 # DocumentationТехнологический стек
Бэкенд: Python, FastAPI, FastAPI-MCP
Фронтенд: Gradio, HTML/CSS/JS
Развёртывание: Vercel (API), Hugging Face Spaces (UI)
Лицензия
MIT
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Maintenance
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