"Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications. Spring AI changes that by leveraging familiar Spring conventions such as dependency injection and the configuration-first philosophy in a modern AI development framework. In this article, you will learn how to integrate AI into your Spring applications."
"Spring AI started as a project in 2023, with its first milestone version released in early 2024. Spring AI 1.0, the general availability release, was finalized in May 2025. Spring AI abstracts the processes involved in interacting with large language models (LLMs), similar to how Spring Data abstracts database access procedures. Spring AI also provides abstractions for managing prompts, selecting models, and handing AI responses. It includes support for multiple AI providers, including OpenAI, Anthropic, Hugging Face, and Ollama (for local LLMs)."
Spring AI brings LLM integration to Spring-based Java applications by providing configuration-first, dependency-injection friendly abstractions. It supports multiple AI providers (OpenAI, Anthropic, Hugging Face, Ollama) and enables provider switching via configuration properties. Developers declare AI resources in application.yaml or application.properties, wire beans implementing standard interfaces, and write code against those interfaces while Spring handles model interactions. Spring AI includes prompt templates for user-generated queries and simple examples for sending requests to OpenAI. It also supports retrieval-augmented generation workflows using a vector store to manage external documents and a simple RAG service.
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