The official GitHub repository for the code examples from the book Spring AI in Action
The official companion resources for Spring AI in Action Craig Walls
Spring AI is often in Snapshot or Milestone releases, so you need the specific repository.
For those considering the book, it's helpful to know what it covers. Spring AI in Action promises a comprehensive journey through the Spring AI ecosystem. Key topics include: spring ai in action pdf github link
Another advanced topic covered in the book is . As AI becomes central to your application's logic, understanding why a model produced a certain output is critical for debugging and trust. Spring AI provides built-in support for observability, enabling you to trace the inputs, outputs, and performance of your AI integrations.
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If you found this guide helpful, consider sharing it with your fellow Java developers. The combination of Spring AI in Action and the active GitHub community is the fastest path to mastering generative AI in the Java ecosystem. The official GitHub repository for the code examples
The book is designed for developers who are already familiar with Spring Boot but may have little to no experience with generative AI. It starts with a simple "Hello AI World" example and quickly advances to more sophisticated techniques, including , AI agents, tool use, speech, and AI observability.
Which (OpenAI, Ollama, Azure, Anthropic) do you plan to use?
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. Key topics include: Another advanced topic covered in
Model Agnostic API: Write your code once and switch between different AI models (e.g., from GPT-4 to Claude) with minimal configuration changes.
@RestController public class AIChatController private final ChatClient chatClient;
Write code once and switch LLM providers via simple configuration changes.
Spring AI in Action is a hands-on guide and code repository for developers who want to integrate AI capabilities into their Spring Boot applications. It covers LLMs, prompt engineering, embeddings, vector stores, function calling, and RAG (Retrieval-Augmented Generation) using Spring AI’s unified API.