Spring AI 1.0 General Availability: Overview and Dependency Setup

Previously I wrote an article about using Spring AI with DeepSeek when Spring AI was still in a SNAPSHOT version; that article can be found at the linked reference.

Now the official Spring AI 1.0 has been released (GA – General Availability), announced by Mark Pollack, a long‑time Spring contributor who also founded Spring Data and Spring .NET.

To use Spring AI 1.0, add the following Maven dependency management snippet to your project:

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-bom</artifactId>
            <version>1.0.0</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

Spring AI makes it easy for applications to integrate AI by providing a pipeline‑style development model that removes unnecessary complexity, drawing inspiration from popular Python projects such as LangChain and LlamaIndex.

The framework addresses a key challenge: connecting enterprise data and APIs with AI models, enabling tasks like chat completion, embeddings, image generation, audio transcription, text‑to‑speech, and content moderation.

Spring AI offers many features and supports a wide range of model types, making it a valuable tool for Java developers in the AI era. A series of upcoming articles will further dissect Spring AI, so stay tuned.