Apple RAG
Empowers AI agents with instant, up-to-date access to official Apple developer documentation and video content via a RAG system.
关于
Apple RAG delivers official Swift development documentation, design guidelines, comprehensive Apple platform knowledge, and curated Apple Developer YouTube content, including WWDC sessions, tutorials, and live events, directly to AI agents. It leverages a cutting-edge Retrieval-Augmented Generation (RAG) system, enhanced with professional AI reranking using Qwen3-Reranker-8B, to provide superior search accuracy across diverse content types. This ensures AI agents have instant, current, and complete access to Apple expertise, transforming them into Apple development experts.
主要功能
- AI-Powered Hybrid Search (Semantic, Keyword, and AI Reranking)
- Comprehensive Coverage of iOS, macOS, watchOS, tvOS, visionOS Documentation
- Integrated Apple Developer YouTube Video Content (WWDC, tutorials)
- Real-time Updates and High Performance infrastructure
- Universal MCP Client Compatibility (Cursor, Claude Desktop, Cline, etc.)
- 42 GitHub stars
使用案例
- Accelerating Apple application development through AI-powered documentation lookup
- Enhancing AI agents with accurate and up-to-date Apple development knowledge
- Providing real-time answers to Swift, SwiftUI, and Apple platform-specific questions for developers using AI tools