Spring has long been the Swiss Army knife in a Java developer's toolkit. From managing dependencies to simplifying web app development, the Spring ecosystem has been making our lives easier for decades. Now, with the AI revolution in full swing, Spring AI has entered the chat, bringing machine learning capabilities directly into the Spring framework we know and love.
Let's dive into Spring AI, get our hands dirty, and see what this exciting new addition to the Spring family can do!
Spring AI is an extension of the Spring framework designed to simplify the integration of AI capabilities into your applications. Think of it as doing for AI what Spring Boot did for application setup, taking away the boilerplate and letting you focus on building cool stuff.
The project aims to provide abstractions across different AI providers (like OpenAI, Azure, AWS Bedrock, etc.), meaning you can switch between them without rewriting your application logic the Spring way.
Let's start by creating a simple Spring Boot application with Spring AI, leveraging the power of Java 21. We'll use Spring Initializr to set up our project.