It provides a unified interface for conversational AI models with enhanced capabilities including function/tool calling, multimodal inputs, and streaming …

Spring AI is a robust extension of the Spring Framework. It’s designed to empower Java developers to create AI-capable applications without the need for extensive reskilling.

This section goes into more detail about how you should use Spring Boot. It covers topics such as build systems, auto-configuration, and how to run your applications.

Jan 23, 2025 · On behalf of the team and everyone who has contributed, I am pleased to announce the first milestone of the next Spring Framework generation. As announced previously, we shipped …

Jul 17, 2025 · On behalf of the team and everyone who has contributed, I am pleased to announce a new milestone for the next Spring Framework generation. We have compiled all the upgrade …

Spring AI supports the various AI language models from DeepSeek. You can interact with DeepSeek language models and create a multilingual conversational assistant based on DeepSeek models.

By default, properties from different sources are added to the Spring Environment in a defined order (see Externalized Configuration in the “Spring Boot Features” section for the exact order).

Spring AI offers the ChatMemoryRepository abstraction for storing chat memory. This section describes the built-in repositories provided by Spring AI and how to use them, but you can also implement your …

Oct 7, 2025 · This is a new blog post in the Road to GA series, this time sharing more details on the new Jackson 3 support, just a few days after Jackson 3.0.0 GA release, about to be introduced in Spring …

This package contains the Spring TestContext Framework which provides annotation-driven unit and integration testing support that is agnostic of the actual testing framework in use.