If you can't find the exact resource you're looking for, consider the following:
Before we dive into downloads and repositories, let's establish a baseline.
Spring AI is an application framework for AI engineering. Its goal is to apply Spring's core principles (portability, modularity, and simplicity) to the AI domain. It provides: spring ai in action pdf github link
While there isn't an official O’Reilly book titled "Spring AI in Action" (like the famous Spring in Action by Craig Walls), the developer community uses this phrase to refer to "practical, working examples of Spring AI." Consequently, searches for a "PDF" often mean developers want an offline, definitive guide.
If you want practical, code-first learning—what "in action" truly means—these five repositories are your bible. If you can't find the exact resource you're
| Repository | Focus | Link | | :--- | :--- | :--- | | Spring AI Official | 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 |
The fastest "in action" experience is using Spring Boot CLI: While there isn't an official O’Reilly book titled
spring init --dependencies=spring-ai-openai,web my-ai-app
cd my-ai-app
# Add your API key to application.properties
If you want to learn Spring AI "in action" through code, the official repository is the best resource. It contains the source code, documentation, and examples.