
Spring AI in Action
Craig Walls(Author)
Manning Publications (Publisher)
Will be published approx. on 6. April 2026
Book
Hardback
327 pages
978-1-63343-611-4 (ISBN)
Description
Java skills are solid, but AI feels like distant rocket science. What if you could add ChatGPT style magic without abandoning Spring Boot? Stop stitching fragile APIs; start coding AI features in familiar Java. Summaries, assistants, smart search, all within the framework you deploy daily. Spring AI bridges the gap between generative power and enterprise reliability. This book shows the path from hello world to production ready AI services.
Spring AI foundations explained: Write AI code with the same patterns as regular Spring.
Virtual assistant walkthrough: Deliver conversational support to users without external chatbot platforms.
Retrieval Augmented Generation pattern: Serve accurate, context-aware answers from your own data.
Image and text conversions: Enrich applications with multimodal capabilities users immediately notice.
Production-ready tips and tests: Ship reliable, maintainable AI services your ops team trusts.
Spring AI in Action by Craig Walls offers the first authoritative guide to Spring's new AI extension from a renowned Spring engineer.
Through clear explanations and fully annotated code, the book moves from a simple "Hello AI" to advanced RAG, multimodal prompts, and conversation memory. Each chapter delivers runnable examples you can drop into your projects.
By the final page you will integrate large-language-model power directly in Java, shorten development cycles, and wow users with intelligent features.
Ideal for Spring developers who want AI without a Python detour and architects standardizing on the Java stack.
Spring AI foundations explained: Write AI code with the same patterns as regular Spring.
Virtual assistant walkthrough: Deliver conversational support to users without external chatbot platforms.
Retrieval Augmented Generation pattern: Serve accurate, context-aware answers from your own data.
Image and text conversions: Enrich applications with multimodal capabilities users immediately notice.
Production-ready tips and tests: Ship reliable, maintainable AI services your ops team trusts.
Spring AI in Action by Craig Walls offers the first authoritative guide to Spring's new AI extension from a renowned Spring engineer.
Through clear explanations and fully annotated code, the book moves from a simple "Hello AI" to advanced RAG, multimodal prompts, and conversation memory. Each chapter delivers runnable examples you can drop into your projects.
By the final page you will integrate large-language-model power directly in Java, shorten development cycles, and wow users with intelligent features.
Ideal for Spring developers who want AI without a Python detour and architects standardizing on the Java stack.
Reviews / Votes
This book gives you all that you need to know without the fluff that you will find online.Nathan B. Crocker, Co-Founder and CTO, Checker Corp.
If you want to bring AI into your Spring MVC or Spring Boot applications, this book is a good place to start.
Ricken Bazolo, Senior Tech Lead, Gad Digital
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 185 mm
Thickness: 24 mm
Weight
440 gr
ISBN-13
978-1-63343-611-4 (9781633436114)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Person
Craig Walls is a veteran Spring engineer and bestselling author known for translating complex frameworks into practical solutions. With decades of coding, writing, and conference speaking, Craig brings clarity, wit, and real-world insight to every page. He distills deep Spring expertise into actionable guidance that lets readers ship smarter, faster AI features.
Content
1 GETTING STARTED WITH SPRING AI
2 EVALUATING GENERATED RESPONSES
3 SUBMITTING PROMPTS FOR GENERATION
4 TALKING WITH YOUR DOCUMENTS
5 ENABLING CONVERSATIONAL MEMORY
6 ACTIVATING TOOL-DRIVEN GENERATION
17 APPLYING MODEL CONTEXT PROTOCOL (MCP)
8 GENERATING WITH VOICE AND PICTURES
9 OBSERVING AI OPERATIONS
10 SAFEGUARDING GENERATIVE AI
11 APPLYING GENERATIVE AI PATTERNS
12 EMPLOYING AGENTS
2 EVALUATING GENERATED RESPONSES
3 SUBMITTING PROMPTS FOR GENERATION
4 TALKING WITH YOUR DOCUMENTS
5 ENABLING CONVERSATIONAL MEMORY
6 ACTIVATING TOOL-DRIVEN GENERATION
17 APPLYING MODEL CONTEXT PROTOCOL (MCP)
8 GENERATING WITH VOICE AND PICTURES
9 OBSERVING AI OPERATIONS
10 SAFEGUARDING GENERATIVE AI
11 APPLYING GENERATIVE AI PATTERNS
12 EMPLOYING AGENTS