Spring AI: Revolutionizing the Future of AI-Driven Java Applications

Artificial Intelligence (AI) has permeated almost every domain in recent years, influencing industries ranging from healthcare to finance. Java, a trusted language for enterprise solutions, has long provided a robust environment for scalable applications. With the rise of AI, developers have been looking for ways to integrate AI capabilities into their Java-based systems. Enter Spring AI, a modern framework that bridges the gap between traditional Java applications and cutting-edge AI technologies.

In this article, we’ll dive into what Spring AI is, its features, how it integrates with Spring’s ecosystem, and why it’s poised to change the AI landscape for Java developers.

Table of Content

· What is Spring AI?
· Key Features of Spring AI
· Spring AI: How It Fits Into the Spring Ecosystem
· Use Cases of Spring AI
· Getting Started with Spring AI
· Example 1: Sentiment Analysis with Pre-trained Model
∘ Service Class (using a pre-trained model):
∘ Controller:
∘ Running the Application:
· Example 2: Image Classification with a Pre-trained Model
∘ Service Class (Image Classification):
∘ Controller:
∘ Running the Application:
· Example 3: Training a Custom Model in Spring AI
∘ Service Class (Training a Model):
∘ Model Class:
∘ Controller:
∘ Running the…