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Swift + OpenAI & LangChain
Integrating external LLM APIs, RAG pipelines, and agentic workflows in iOS and macOS apps
This book is 100% completeLast updated on 2026年04月28日
Master AI integration on Apple platforms by bridging Swift 6 with OpenAI, LangChain, and autonomous agents. Build high-performance RAG pipelines using hardware-accelerated vector math and persistent local semantic memory. Architect thread-safe, real-time apps with strict concurrency, intelligent function calling, and efficient token streaming. Move from basic API calls to production-grade...
This book is 100% completeLast updated on 2026年04月28日
Master AI integration on Apple platforms by bridging Swift 6 with OpenAI, LangChain, and autonomous agents. Build high-performance RAG pipelines using hardware-accelerated vector math and persistent local semantic memory. Architect thread-safe, real-time apps with strict concurrency, intelligent function calling, and efficient token streaming. Move from basic API calls to production-grade...
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Master AI Integration on Apple Platforms with Swift 6, OpenAI, and LangChain!
The next generation of iOS and macOS apps won't just follow instructions—they will reason, act, and learn. Are you ready to build them? Volume 8 of the Swift & AI Masterclass is the definitive guide to integrating external LLMs into production-grade Apple applications.
This isn't just a book about API calls. It’s an architectural deep dive into building AI Agents and RAG (Retrieval-Augmented Generation) pipelines that are fast, safe, and cost-effective. Learn how to transform raw PDFs into searchable high-dimensional vectors, manage long-running "Reasoning Loops" with the ReAct pattern, and handle streaming tokens in real-time without freezing your UI.
What’s Inside:- Swift 6 & Strict Concurrency: Use Actors and Sendable protocols to prevent data races in complex AI workflows.
- Streaming & SSE: Implementation of real-time, typewriter-style responses using AsyncSequence and URLSession.bytes.
- Semantic Search & Embeddings: Leverage Apple’s Accelerate framework for hardware-accelerated vector math (Cosine Similarity).
- Function Calling & Tools: Teach GPT-4o and Claude 3.5 how to use your Swift code to perform real-world actions.
- Offline Support with SwiftData: Cache embeddings locally to provide intelligent features even without an internet connection.
- Memory Management: Master sliding windows and recursive summarization to stay within token limits and save costs.
Whether you are building a professional research assistant, a smart journaling app, or an autonomous task manager, this book provides the Theory, Basic Examples, and Advanced Applications needed to ship world-class AI features.
Bridge the gap between probabilistic AI and deterministic Swift code!
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