Spring Ai In Action Pdf Github (2026 Edition)

Write your code once and swap underlying AI models (e.g., OpenAI, Anthropic, Ollama, Azure OpenAI) with simple configuration changes.

public record OrderDetails(String item, int quantity, String urgency) {} public OrderDetails parseOrder(String unstructuredText) var converter = new BeanOutputConverter<>(OrderDetails.class); String promptMessage = """ Extract the order information from this text: input format """; PromptTemplate template = new PromptTemplate(promptMessage); Prompt prompt = template.create(Map.of( "input", unstructuredText, "format", converter.getFormat() )); String response = chatModel.call(prompt).getResult().getOutput().getContent(); return converter.convert(response); Use code with caution. 2. Retrieval-Augmented Generation (RAG) spring ai in action pdf github

@RestController public class ChatController Write your code once and swap underlying AI models (e

Are you integrating this with (WebFlux) or standard MVC? Operational Readiness : Focuses on AI observability for

: Integrating with standardized tool and resource protocols. Conversational Intelligence : Detailed guides on enabling chat memory to handle multi-turn interactions naturally. Operational Readiness : Focuses on AI observability for monitoring operations and safeguarding to prevent hallucinations or unsafe responses. SpringSource Repository and Resources Code Samples : Official sample code for the book is hosted on habuma/spring-ai-in-action-examples , with branches updated for Spring AI 1.0.3 and 1.1.0. PDF Format : While an official PDF version of the Spring AI framework

As of early 2026, there is no official Manning publication titled "Spring AI in Action" . The closest official resources are:

By exploring the spring-ai-in-action-samples repository, you will learn how to: Configure the ChatClient using application.yml . Implement RAG patterns to chat with PDFs or databases. Utilize Structured Output to get JSON responses from LLMs. 5. Conclusion