record Actor(String name, Integer age) {} Actor actor = chatClient.prompt() .user("Generate an actor from the 1990s") .call() .entity(Actor.class); // No JSON parsing boilerplate! From spring-tips repo:

Enter . This new addition to the Spring ecosystem provides an abstraction layer for AI models, similar to how Spring Data abstracts databases.

Spring AI is not a passing trend; it is the future of enterprise Java. The "action" is happening right now, in commits, in PRs, and in those tiny, powerful code snippets that turn a PDF into a smart assistant. Your journey starts with a git clone and a dot (period) to open the PDF.

If you are searching for , you aren't just looking for documentation. You want a tactical, hands-on resource . You want code you can clone, run, and modify. You want examples of chat clients, RAG (Retrieval-Augmented Generation), and function calling.

The landscape of enterprise Java development is shifting. For years, Spring Framework has been the undisputed king of dependency injection, web MVC, and data access. But 2023 and 2024 brought a tidal wave of Generative AI—Large Language Models (LLMs) like GPT-4, Gemini, and Llama. The question on every Spring developer’s lips became: How do I integrate AI into my existing Spring Boot applications without rewriting everything from scratch?

Then, generate the official PDF from the spring-ai-docs module. Keep it on your desktop.

| Your Goal | Best Resource (Search term) | Format | | :--- | :--- | :--- | | | spring-ai-reference.pdf | PDF (Generated from docs) | | Copy-paste RAG code | github.com/spring-projects/spring-ai/blob/main/models/spring-ai-openai/src/test | GitHub Source | | Troubleshooting prompts | github.com/rd-1-2025/spring-ai-workshop | GitHub (Workshop) | | Production deployment | spring-ai-kubernetes-example by dashaun | GitHub Repo | | Cheat sheet | spring-ai-cheatsheet.pdf (gist.github.com) | PDF (1 page) |