关于
PyRag is an innovative server designed to combat the persistent problem of outdated knowledge in large language models (LLMs) used by AI coding assistants. By acting as a Model Context Protocol (MCP) server, PyRag delivers real-time, comprehensive, and accurate Python library documentation directly to your AI assistant. This ensures that developers receive up-to-date code examples, API references, and best practices, significantly reducing errors, wasted time, and development slowdowns caused by incorrect or deprecated information.
主要功能
- Eliminates outdated code examples and common errors in AI-generated code
- Reduces query costs by providing accurate information on the first attempt
- Seamlessly integrates with MCP-compatible AI assistants like Cursor IDE
- Delivers current and comprehensive Python documentation to AI assistants
- Supports popular Python libraries including LangChain, FastAPI, Transformers, Pydantic, and OpenAI
- 0 GitHub stars
使用案例
- Answering API usage questions for Python libraries with up-to-date details
- Troubleshooting common Python library errors and providing best practices
- Generating current and functional code examples for various Python functionalities
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