Spring AI is an official Spring project that provides a spring-native conceptual abstraction for interacting with Artificial Intelligence models. It eliminates the boilerplate code typically associated with connecting to AI HTTP endpoints, allowing developers to swap AI backends with minimal configuration changes. Key Philosophy: Portable API
Spring AI in Action: Mastering Enterprise Java AI Engineering
The "Spring AI in Action" PDF guide and GitHub repository are essential resources for developers looking to build intelligent applications with Spring AI. With its comprehensive coverage of Spring AI features and sample projects, this guide provides a practical introduction to building AI-powered applications. Whether you're a seasoned developer or just starting out with AI, this guide and repository are a great place to start your journey with Spring AI.
Function calling allows LLMs to execute real-time Java code when they need current information (like checking weather, fetching current order statuses, or running calculations). Defining the Tool as a Java Function Bean
@Configuration public class AIModelTools { public record OrderStatusRequest(String orderId) {} public record OrderStatusResponse(String status, String deliveryDate) {} @Bean @Description("Get the current delivery status and tracking details for a specific customer order ID") public Function checkoutOrderStatus() return request -> // Mock DB lookup logic return new OrderStatusResponse("Shipped - In Transit", "2026-06-02"); ; } Use code with caution. Binding the Function to the Chat Request spring ai in action pdf github
<dependencies> <!-- The Core Spring AI BOM --> <dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-bom</artifactId> <version>0.8.1</version> <!-- Check for latest snapshot/release --> <type>pom</type> <scope>import</scope> </dependency> <!-- The OpenAI Starter (Example) --> <dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-openai-spring-boot-starter</artifactId> </dependency>
: A specific demonstration of Retrieval-Augmented Generation (RAG) using Spring AI with PDF documents as data sources. Key Resources & Blog Posts Reference Documentation : Currently, there is no official PDF download
If you want the freshest PDF, do this:
public String generateResponse(String userInput) return chatClient.call(userInput); Spring AI is an official Spring project that
is the definitive framework for Java developers looking to integrate generative artificial intelligence into enterprise applications. As AI moves from standalone Python scripts to robust enterprise architectures, Java developers need a structured, idiomatic way to build AI-powered systems.
Given the rapid evolution, use this matrix to find exactly what you need:
Alex stared at the requirements for the new "Smart Portfolio" feature. The app needed to analyze market trends, answer user questions, and generate personalized investment reports.
Implement a simple RAG pipeline using a local PostgreSQL database with PGVector. Conclusion With its comprehensive coverage of Spring AI features
Historically, the Python ecosystem dominated the machine learning and generative AI landscape with frameworks like LangChain and LlamaIndex. However, rewriting an existing enterprise Java backend in Python just to leverage an LLM (Large Language Model) is rarely practical.
// Conceptual snippet for standard RAG ingestion public void ingestPdfDocumentation(Resource pdfResource) PagePdfDocumentReader pdfReader = new PagePdfDocumentReader(pdfResource); TokenTextSplitter textSplitter = new TokenTextSplitter(); List splitDocuments = textSplitter.apply(pdfReader.get()); this.vectorStore.accept(splitDocuments); Use code with caution. Best Practices for Spring AI Production Deployment
While beginner-friendly, it includes chapters on advanced nuances, such as tool use, AI observability, and Model Context Protocol. Comparison to Other Tools:
Since the specific user query includes "pdf", here is the most up-to-date information regarding its availability.
To follow along with the examples found in popular GitHub repositories, you need to initialize a standard Spring Boot 3.x application. Maven Dependencies