PyRag
Provides AI coding assistants with access to current, comprehensive Python library documentation, eliminating frustration from outdated examples and incorrect information.
About
PyRag is an innovative server designed to combat the persistent problem of outdated knowledge in large language models (LLMs) used by AI coding assistants.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.
Key Features
- Eliminates outdated code examples and common errors in AI-generated code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
Use Cases
- 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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