MIT – free for learning and production use.
The book "Spring AI in Action" by Craig Walls is the definitive guide for Java developers looking to integrate generative AI features into the Spring ecosystem. Published by Manning Publications , it bridges the gap between enterprise Java reliability and the power of large language models (LLMs). 📚 Book Resources & GitHub Links
For those searching for official code and documentation, the following resources are essential:
Official Example Code: The primary repository for the book's examples is hosted on GitHub at habuma/spring-ai-in-action-examples .
Alternative Sample Code: A secondary repository for cleaned-up samples is maintained at habuma/spring-ai-in-action-samples .
PDF Access: While unofficial PDF copies sometimes appear on GitHub, Manning provides a legitimate free eBook (PDF, ePub, and Kindle) included with any purchase of the print edition.
Reference Documentation: The official Spring AI Reference Documentation provides a comprehensive HTML guide, though an official downloadable PDF from the Spring team is still a pending community request. 🛠️ What You Will Learn in "Spring AI in Action"
The book follows a practical, "in action" approach, taking readers from "Hello AI" to production-ready services: habuma/spring-ai-in-action-samples - GitHub
Searching for a " Spring AI in Action " PDF on GitHub typically leads to official code repositories rather than the full book text, as the book is a commercial publication by Manning. 📚 Official Book Resources
While GitHub does not host the legal PDF of the book, you can find all the supporting materials there:
Official Example Code: The author, Craig Walls, maintains the companion code for the book in the habuma/spring-ai-in-action-examples and habuma/spring-ai-in-action-samples repositories.
Book Details: You can find the legitimate digital and physical versions on the official Manning Publications page or through retailers like Amazon. 🛠️ Alternative Guides & Official Documentation spring ai in action pdf github link
If you are looking for free, high-quality documentation or starter guides, these are the best GitHub-linked resources:
Official Spring AI Documentation: The most comprehensive technical guide is the Spring AI Reference, which provides the foundation for everything covered in the book.
Awesome Spring AI: A curated list of tutorials, projects, and guides can be found at the spring-ai-community/awesome-spring-ai repository.
Spring AI Examples: For specific implementations like Chat Models, RAG, and Vector Databases, check out the author's Spring AI Examples repository. ⚠️ Note on "Action" Series PDF Links
Be cautious of repositories claiming to host a full PDF of "Spring AI in Action". These are often unofficial, may contain outdated versions, or are redirected from sites like DOKUMEN.PUB. For the most accurate and safe information, stick to the Manning website or the official Spring AI documentation. habuma/spring-ai-examples - GitHub
Repository files navigation. README. Spring AI Examples. This repository is where I'll commit various examples of using Spring AI. habuma/spring-ai-in-action-examples - GitHub
Spring AI in Action is a bestselling guide by Craig Walls (a principal engineer on the Spring team) that teaches developers how to build native AI applications using Spring AI and Spring Boot. Essential Repository Links
The book's source code and supplementary materials are hosted on GitHub:
Official Sample Code: The primary repository containing the examples as they appear in the book is habuma/spring-ai-in-action-examples.
Updated Samples: For the latest updates and maintenance beyond the book's print date, use the habuma/spring-ai-in-action-samples repository.
General Spring AI Examples: Craig Walls also maintains a broader collection of standalone examples at habuma/spring-ai-examples. How to Access the Guide (PDF/eBook) MIT – free for learning and production use
The book is published by Manning Publications. While the code is free on GitHub, the text is a commercial product.
Official Purchase: You can buy the Spring AI in Action eBook (PDF, ePub, online) or print version directly from Manning.
Manning liveBook: Purchasing the book includes access to liveBook, Manning's online reading and discussion platform.
Official Reference PDF: Note that there is currently no official "one-click" PDF for the general Spring AI technical documentation on the Spring website, though requests for one are tracked on GitHub. Key Topics Covered The guide uses examples to cover: Spring AI in Action - Craig Walls - Manning Publications
If you want to learn Spring AI "in action" through code, the official repository is the best resource. It contains the source code, documentation, and examples.
To prove the value of the spring ai in action pdf github link combo, here is a snippet of what you typically clone from the repository. This shows how the PDF explains the concept, and the GitHub repo provides the execution.
From the PDF (Theory): "You must create a ChatClient bean that leverages the Builder pattern to define default system prompts."
From the GitHub Repo (Implementation):
package com.example.ai.assistant;import org.springframework.ai.chat.client.ChatClient; import org.springframework.ai.chat.client.advisor.QuestionAnswerAdvisor; import org.springframework.ai.vectorstore.VectorStore; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration;
@Configuration public class AiConfig
@Bean public ChatClient chatClient(ChatClient.Builder builder, VectorStore vectorStore) return builder .defaultSystem("You are a Java expert. Answer only based on the context provided.") .defaultAdvisors(new QuestionAnswerAdvisor(vectorStore)) // RAG pattern .build();
Without the GitHub link, you would wonder where VectorStore comes from. The repo contains the exact pom.xml dependency:
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-chroma-store-spring-boot-starter</artifactId>
</dependency>
Before we dive into downloads and repositories, let's establish a baseline.
Spring AI is an application framework for AI engineering. Its goal is to apply Spring's core principles (portability, modularity, and simplicity) to the AI domain. It provides:
While there isn't an official O’Reilly book titled "Spring AI in Action" (like the famous Spring in Action by Craig Walls), the developer community uses this phrase to refer to "practical, working examples of Spring AI." Consequently, searches for a "PDF" often mean developers want an offline, definitive guide.
The fastest "in action" experience is using Spring Boot CLI:
spring init --dependencies=spring-ai-openai,web my-ai-app
cd my-ai-app
# Add your API key to application.properties
Check GitHub:
Publisher's Website or Author's Blog:
| Resource Type | Link | Description | | :--- | :--- | :--- | | Official Code | spring-ai-examples | Runnable code for RAG, Prompts, and Memory. | | Official Docs (PDF) | Spring AI Reference | The authoritative source for syntax and API details. | | Community Book | Manning: Spring AI in Action | Note: Check Manning's website for upcoming MEAP (Early Access) books. |
Pro Tip: Since Spring AI is evolving fast, always check the GitHub Issues on the main repo (github.com/spring-projects/spring-ai) if you run into dependency conflicts.
Here’s a high-quality content outline and description you can use for a blog post, documentation, or GitHub README focused on Spring AI in Action — including a mock/likely GitHub link structure. The book " Spring AI in Action "