This article serves as your complete roadmap. We will explore what Spring AI offers, where to find the official "Spring AI in Action" style resources, and most importantly, provide you with verified GitHub links and guidance on legitimate PDF documentation. Before we dive into downloads and repositories, let's establish a baseline.
For a broader set of worked examples, the community has built another fantastic resource:
If you’ve been searching for the term , you aren’t alone. Thousands of Java developers are looking for concrete, actionable resources to bridge the gap between theoretical AI knowledge and practical, production-ready code. You want a hands-on guide, a downloadable reference, and a living code repository. spring ai in action pdf github link
./mvnw clean install -Pasciidoc # Look for the PDF in spring-ai-docs/target/generated-docs/ Note: This requires Asciidoctor PDF plugin configured in the project. If not directly available, use the browser method mentioned above. Navigate to the spring-ai-examples directory (clone separately from the experimental repo). Run the simple-chat example:
spring init --dependencies=spring-ai-openai,web my-ai-app cd my-ai-app # Add your API key to application.properties | Pitfall | How the GitHub Repo Helps | | :--- | :--- | | API Key management | Look at application.properties samples. Use spring.ai.openai.api-key=$OPENAI_API_KEY | | Model version mismatches | The repo uses specific, tested versions (e.g., gpt-3.5-turbo ). Stick to those. | | Function calling not working | Check the FunctionCallbackWrapper examples in spring-ai-examples . You must register the function as a Spring bean. | | Vector store connection | The spring-ai-examples includes docker-compose files for Pgvector – run docker-compose up first. | Is there a Legitimate "Spring AI in Action" PDF Book? Let me be transparent. As of this writing, Craig Walls has not published "Spring AI in Action" (the sequel to his legendary "Spring in Action" series). Manning Publications has "Spring AI in Action" listed as a "MEAP" (Manning Early Access Program) or as a planned title. However, the search term persists because developers desperately want a Manning/ O'Reilly style deep dive. This article serves as your complete roadmap
https://github.com/spring-projects/spring-ai
| Repository | Focus | Link | | :--- | :--- | :--- | | | Core framework source & basic samples | github.com/spring-projects/spring-ai | | Spring AI Examples (Experimental) | Advanced patterns (RAG, Function calling) | github.com/spring-projects-experimental/spring-ai-examples | | Thomas Vitale - Spring AI Playground | Real-world with Ollama & PGvector | Search "Thomas Vitale Spring AI" on GitHub | | Dan Vega's Spring AI Tutorials | YouTube synced code (excellent for beginners) | Search "Dan Vega spring-ai-demo" | | LangChain4j Spring Boot Starter | Alternative perspective (often compared to Spring AI) | github.com/langchain4j/langchain4j-spring | How to Read Spring AI Documentation Like a Pro Once you have the GitHub repo cloned and a PDF (or HTML) documentation open, focus on these four key sections exclusively for "in action" learning: 1. The ChatClient Interface This is the heart of Spring AI. Look at the ChatClient fluid API: For a broader set of worked examples, the
cd spring-ai-examples/simple-chat ./mvnw spring-boot:run You now have a working Spring AI application talking to an LLM. If you want practical, code-first learning—what "in action" truly means—these five repositories are your bible.
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