. It covers everything from basic "Hello World" setups to advanced Retrieval-Augmented Generation (RAG) , AI agents, and multimodal AI. Essential Resources & Links Official Code Repository : The book's accompanying source code is available on Additional Examples : Author Craig Walls maintains a broader Spring AI examples repository for various use cases. Official Documentation
As one Chinese tutorial author eloquently stated: "When Python developers use LangChain to quickly build AI applications, the Java world has long faced an awkward situation: either use HTTP clients to hard-connect AI interfaces, or be forced to learn the Python ecosystem. Until Spring AI emerged—it's like a bridge, connecting Java's rigor with AI's agility" .
Which are you planning to use? (OpenAI, Ollama, Anthropic, etc.) spring ai in action pdf github link
Spring AI is a generative AI framework that reached General Availability (GA) on May 20, 2025, as part of the Spring ecosystem. It provides Spring-friendly APIs and abstractions for developing AI applications, applying Spring ecosystem design principles like portability and modular design to the AI domain.
Purchase the book (or access it through Perlego) to gain a systematic understanding of all Spring AI capabilities. The book follows Craig Walls's practical, example-driven approach—the same style that made Spring in Action a bestseller. (OpenAI, Ollama, Anthropic, etc
To help you get started with your Spring AI project right now, tell me:
Read a PDF or text file using a DocumentReader . The book follows Craig Walls's practical
import org.springframework.ai.chat.model.ChatModel; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; @RestController public class AIController private final ChatModel chatModel; public AIController(ChatModel chatModel) this.chatModel = chatModel; @GetMapping("/api/generate") public String generate(@RequestParam(value = "message") String message) return chatModel.call(message); Use code with caution. 2. Achieving Structured Output
: The primary repository for the book's sample code. It includes branches for different Spring AI versions (e.g., main for 1.0.3 and spring-ai-1.1.0 for newer updates).
