Apple Developer Documentation (RAG)

Provides semantic search and retrieval for Apple Developer Documentation using vector similarity search, keyword matching, and reranking to deliver relevant technical documentation and API references

This MCP server provides AI-powered semantic search and retrieval capabilities for Apple Developer Documentation, built by the Apple RAG Team using TypeScript and deployed on Cloudflare Workers. The implementation combines vector similarity search using PostgreSQL with pgvector, keyword search optimized for technical terms and API names, and AI reranking through SiliconFlow's embedding and reranker models to deliver highly relevant documentation results. Features include multi-key API failover for reliability, subscription-based rate limiting with anonymous access support, query cleaning to remove temporal information, and comprehensive logging with Telegram notifications, making it ideal for developers building AI assistants that need accurate access to Apple's technical documentation and API references.