This article provides a comprehensive overview of the book, where to find the , and the accompanying GitHub repository to get hands-on experience with Spring AI in action. What is Spring AI?

Kotlin-based RAG implementations 3.2.1.

Tech publishers frequently release specialized textbooks named [Topic] in Action . Authors of these technical volumes always publish their companion source code openly on GitHub under structured repository names matching the book's chapters. Advanced Capabilities to Explore

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:

Add the Spring AI Bill of Materials (BOM) and the specific model starter to your pom.xml :

@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();

Searching for just the PDF is a trap. Without the companion code, you will spend hours debugging missing beans and incorrect version numbers. The is the second half of the book.

Write code once, swap models (OpenAI/Ollama) easily.

The most common enterprise use case is querying private company data. Spring AI simplifies the RAG pipeline into three distinct phases: