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https://github.com/spring-projects-experimental/spring-ai-examples
Introduction: The Rise of Generative AI in the Java Ecosystem For over two decades, the Spring Framework has been the bedrock of enterprise Java development. From Spring MVC to Spring Boot, it has consistently evolved to meet modern demands. Now, with the explosive growth of Large Language Models (LLMs) like GPT-4, Llama 3, and Claude, the Spring team has introduced Spring AI – a game-changing project that brings the power of generative AI to the familiar patterns of Spring. spring ai in action pdf github link
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. https://github
| 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: | | Function calling not working | Check
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.
https://github.com/spring-projects/spring-ai
For a broader set of worked examples, the community has built another fantastic resource:
