[portable] — Spring Ai In Action Pdf Github

The book is the definitive guide to using the Spring AI framework. Spring AI in Action is written by Craig Walls, a principal engineer on the Spring team and the bestselling author behind the "In Action" series. It is purpose-built for Java developers comfortable with Spring and Spring Boot. The book focuses on bridging the gap between powerful generative AI models and enterprise-grade Java applications.

"Spring AI in Action" is not just a book; it is a comprehensive guide to modernizing Java applications with artificial intelligence. By combining the theoretical knowledge from the with the practical, actionable code in the GitHub repository , developers can efficiently master Spring AI and build robust, intelligent applications in 2026. If you are interested, I can: Provide a sample pom.xml for a Spring AI project. Explain how to configure Ollama for local AI testing. Show you how to implement a RAG pipeline .

Function calling empowers LLMs to interact with external enterprise systems. You can declare a standard Java java.util.function.Function as a Spring Bean, register it with Spring AI, and the LLM will automatically decide when to invoke it based on the user's intent. Defining the Business Logic Function

To build a project inspired by the best GitHub blueprints, you need to properly initialize your build system. Spring AI provides dedicated Starters that tie cleanly into the Spring Boot ecosystem. Maven Dependencies spring ai in action pdf github

Integrates with the Spring monitoring stack to track AI call performance and cost. Mastering the Framework: "Spring AI in Action"

Here's a look at the repository's structure and key resources:

@Configuration public class AIModelTools { public record OrderStatusRequest(String orderId) {} public record OrderStatusResponse(String status, String deliveryDate) {} @Bean @Description("Get the current delivery status and tracking details for a specific customer order ID") public Function checkoutOrderStatus() return request -> // Mock DB lookup logic return new OrderStatusResponse("Shipped - In Transit", "2026-06-02"); ; } Use code with caution. Binding the Function to the Chat Request The book is the definitive guide to using

: Avoid burning development budget on commercial LLM tokens during CI/CD test phases. Configure an application-test.properties profile that routes ChatModel calls locally to an Ollama Docker container using Testcontainers.

When a user asks a question, query the VectorStore for similar documents and pass them as context to the ChatModel .

The "Spring AI in Action" PDF guide and GitHub repository are essential resources for developers looking to build intelligent applications with Spring AI. With its comprehensive coverage of Spring AI features and sample projects, this guide provides a practical introduction to building AI-powered applications. Whether you're a seasoned developer or just starting out with AI, this guide and repository are a great place to start your journey with Spring AI. The book focuses on bridging the gap between

: The official code repository for the book. It includes branches for different versions, such as Spring AI 1.1.0 and the main branch aligned with Spring AI 1.0 Spring AI in Action Samples : A placeholder repository managed by the author, Craig Walls (habuma)

Provide your API credentials in the src/main/resources/application.properties file: properties

@RestController @RequestMapping("/api/ai") public class ChatController private final ChatClient chatClient; public ChatController(ChatClient.Builder builder) this.chatClient = builder .defaultSystem("You are a helpful and concise software architecture assistant.") .build(); @GetMapping("/generation") public String generateAnswer(@RequestParam(value = "message") String message) return this.chatClient.prompt() .user(message) .call() .content(); Use code with caution. Achieving Structured Output