Abstract The landscape of enterprise Java development is undergoing a seismic shift. With the advent of Large Language Models (LLMs) like GPT-4, Claude, and Llama, developers are no longer just building CRUD applications; they are expected to integrate intelligent reasoning, summarization, and generation into existing codebases. Spring AI is the response from the Spring ecosystem to standardize this integration.
This write-up explores the core concepts of Spring AI, mimicking the style of an "In Action" technical guide. We will cover project setup, the "Prompt Template" pattern, RAG (Retrieval-Augmented Generation), and how to structure a production-ready repository.
When developers append "PDF" to a search query, they generally want one of two things:
Spring AI is a powerful framework that makes it easy to build AI-powered applications. With its modular design, extensive library of AI and ML algorithms, and scalability features, Spring AI is an ideal choice for developers looking to integrate AI capabilities into their applications. spring ai in action pdf github
If you browse the GitHub repo’s chapter-07, you will find how to build a Retrieval Augmented Generation pipeline:
@Bean public VectorStore vectorStore(EmbeddingModel embeddingModel) return new SimpleVectorStore(embeddingModel); // or Redis, Chroma
@Bean public RetrievalAugmentor augmentor(VectorStore vectorStore) return new VectorStoreRetrievalAugmentor(vectorStore, new QuestionAnsweringAdvisor());
And in chapter-09, see how to give your AI superpowers with Function Calling:
@Bean
@Description("Get current weather for a city")
public Function<WeatherRequest, WeatherResponse> currentWeather()
return (request) -> weatherApi.get(request.city());
These are not theoretical—they compile, run, and include unit tests in the GitHub repository.
Searching GitHub for "spring ai in action pdf" yields: Abstract The landscape of enterprise Java development is
Example findings (hypothetical):
Legitimate repository:
spring-projects/spring-ai – official source code and samples, no PDF.
A GitHub repo where developers add:
You can purchase the official eBook (PDF, EPUB, Kindle) directly from Manning’s website. Benefits include:
This is the source of truth.