The landscape of enterprise Java development is shifting. For over two decades, the Spring Framework has been the de facto standard for building robust, scalable applications. Now, with the explosive rise of Generative AI, developers are facing a new challenge: How do we integrate Large Language Models (LLMs) into traditional Spring Boot applications without rewriting the entire stack?
: A general repository for Spring AI samples that the author recommends for those interested in the book. Community & Reference Resources spring ai in action pdf github link
Updated Samples: For the latest updates and maintenance beyond the book's print date, use the habuma/spring-ai-in-action-samples repository. Spring AI in Action: Unlocking the Ultimate PDF
First, you need to add the necessary dependencies to your pom.xml: org.springframework.aispring-ai-openai-spring-boot-starter Configuration Configure your OpenAI API key in application.properties: spring.ai.openai.api-key=$OPENAI_API_KEY Implementing the Service Now, create a simple controller to handle chat requests: @RestControllerpublic class ChatController private final ChatClient chatClient; : A general repository for Spring AI samples
Official Spring AI Documentation: The most comprehensive technical guide is the Spring AI Reference, which provides the foundation for everything covered in the book.
Before we dive into the PDF and GitHub specifics, let's align on the technology. Spring AI is an extension of the Spring ecosystem that provides an abstraction layer for AI models. Think of it as Spring Data, but for AI.