The Definitive Guide to Spring AI : Build Intelligent Java Applications with Spring Boot, Generative AI, RAG, AI Agents, Tool Calling, and Large Language Models
Language: English
Published by Amazon Digital Services LLC - Kdp Aug 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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- Title
- The Definitive Guide to Spring AI : Build Intelligent Java Applications with Spring Boot, Generative AI, RAG, AI Agents, Tool Calling, and Large Language Models
- Author
- Andrew K Smith
- Publisher
- Amazon Digital Services LLC - Kdp Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798193577867
- Item weight
- 295 grams
- Dimensions
- 254x178x9 mm
Generative AI is transforming modern software development, but adding AI capabilities to a real application requires more than connecting to a language model. Developers need to understand prompting, context, retrieval, memory, tool calling, agents, security, evaluation, and production architecture.
The Definitive Guide to Spring AI provides a practical path for Java and Spring Boot developers who want to build modern AI-powered applications using Spring AI and Large Language Models.
Starting with the fundamentals, this book takes you step by step into advanced AI application development. You will learn how Spring AI fits into the Spring ecosystem and how to use its capabilities to create intelligent, maintainable applications.
Inside, you will learn how to:
Build AI-powered Spring Boot applications using Java and Spring AI.
Work with prompts and structured responses to create more reliable model interactions.
Build conversational applications with memory and context management.
Use embeddings and vector stores for semantic search and intelligent information retrieval.
Implement Retrieval-Augmented Generation (RAG) to connect AI models with external documents and knowledge.
Integrate AI tools and external services so applications can perform controlled actions through APIs, databases, and other capabilities.
Explore Model Context Protocol (MCP) and modern approaches to connecting AI applications with tools and contextual resources.
Develop multimodal AI applications that work with text, images, and other supported media.
Build AI agents capable of coordinating models, tools, memory, and multi-step workflows.
Evaluate and observe AI applications while managing performance, reliability, latency, and operational behavior.
Apply security and safety practices for protecting applications, credentials, data, users, and AI-powered operations.
Prepare applications for production with scalable architecture, resilience, deployment strategies, and practical engineering principles.
This book focuses on more than API usage. It explains the concepts and architectural decisions behind modern AI applications so you can understand not only how a feature works, but also when and why to use it.
Whether you want to create an intelligent assistant, build a RAG-powered knowledge system, connect AI models to application tools, or develop sophisticated agentic workflows, this guide provides a strong foundation for building practical AI applications with Java and Spring Boot.
Who is this book for?
Designed for Java developers, Spring Boot developers, software engineers, backend developers, and application architects who want to incorporate modern generative AI capabilities into their applications.
No advanced machine learning background is required. The focus is on practical AI application engineering with Spring AI, Java, and Spring Boot.
If you are ready to move beyond basic model calls and start building intelligent, secure, and production-oriented applications, The Definitive Guide to Spring AI provides a practical path from fundamentals to advanced AI development.
"Synopsis" may belong to another edition of this title.
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