Overview

Have you noticed how every team seems eager to integrate AI - yet only a few succeed in making it scalable, safe, and production-ready?If you're a Java or Spring developer searching for a real engineering guide, not a hype-filled overview, this book is your answer. The Complete Spring AI Handbook bridges the gap between curiosity and implementation. It's not about buzzwords - it's about building systems that actually work. Inside, you'll learn how Large Language Models (LLMs) fit naturally within Spring's architecture and how to design AI components that are stable, maintainable, and testable. You'll explore the real challenges developers face when integrating prompts, retrieval, and orchestration into enterprise-grade systems. You'll discover: Prompt Engineering for Teams - practical patterns, safety checks, and version control for sustainable collaboration. Retrieval-Augmented Generation (RAG) - modular, maintainable, and performance-tuned for Spring applications. Workflow Orchestration - leverage Spring AI, LangChain4j, and modern Java tooling to build seamless AI pipelines. Deployment Strategies - treat AI as a production service with reliability, cost monitoring, and scaling in mind. Security and Governance - learn how to design systems that protect data and comply with evolving standards. Future-Ready Architectures - build flexible frameworks that adapt as models evolve or move to the edge. Each section encourages you to think critically: Why this model? Why this approach? Why this tradeoff? Because great AI engineering begins with asking better questions. Whether you're designing chatbots, knowledge systems, or intelligent microservices, this handbook equips you with the clarity, confidence, and patterns to engineer AI solutions that last. If you're ready to move beyond experimentation and start building real, reliable AI systems with Spring, this is your handbook. Learn. Build. Deploy. Redefine your Java applications with AI.

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