Spring AI provides a consistent, high-level abstraction layer over various AI model providers (OpenAI, Ollama, HuggingFace, Mistral, etc.). Instead of managing proprietary API clients, developers use standard Spring interfaces for:
: The absolute source of truth. Check out the spring-ai-samples directory inside the repository for excellent, maintained templates showcasing function calling, multi-model evaluation, and advanced RAG.
Quick starter checklist
Implementing the RAG pattern to reduce "hallucinations." spring ai in action pdf github
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How to use ChatClient and manage API keys securely using Spring Cloud Vault.
// Splitting the document into manageable chunks var textSplitter = new TokenTextSplitter(); var splitDocuments = textSplitter.split(documents); Quick starter checklist Implementing the RAG pattern to
By combining the theoretical grounding of the book with the practical, executable code from its GitHub repository, you will be well-equipped to build the next generation of intelligent, enterprise-ready Spring Boot applications. Happy coding!
Spring AI in Action: Mastering Enterprise Java AI Engineering
A GitHub repo where developers add:
When a user asks a question, query the VectorStore for similar documents and pass them as context to the ChatModel .
Map unstructured AI responses directly into strongly typed Java Objects or POJOs.
The book is the definitive guide to using the Spring AI framework. Spring AI in Action is written by Craig Walls, a principal engineer on the Spring team and the bestselling author behind the "In Action" series. It is purpose-built for Java developers comfortable with Spring and Spring Boot. The book focuses on bridging the gap between powerful generative AI models and enterprise-grade Java applications. Can’t copy the link right now