The Spring AI project aims to streamline the development of applications that incorporate artificial intelligence functionality without unnecessary complexity.

Spring AI 1.1.9-SNAPSHOT

|   | This version is still in development and is not considered stable yet. For the latest stable version, please use [Spring AI 2.0.1](https://docs.spring.io/spring-ai/reference/api/index.html)! |
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# Spring AI API

## [](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/api/index.html#_introduction)Introduction

The Spring AI API covers a wide range of functionalities. Each major feature is detailed in its own dedicated section. To provide an overview, the following key functionalities are available:

### [](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/api/index.html#_ai_model_api)AI Model API

Portable `Model API` across AI providers for `Chat`, `Text to Image`, `Audio Transcription`, `Text to Speech`, and `Embedding` models. Both `synchronous` and `stream` API options are supported. Dropping down to access model specific features is also supported.

![Model hierarchy](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/_images/model-hierarchy.jpg)

With support for AI Models from OpenAI, Microsoft, Amazon, Google, Amazon Bedrock, Hugging Face and more.

![spring ai chat completions clients](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/_images/spring-ai-chat-completions-clients.jpg)

### [](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/api/index.html#_vector_store_api)Vector Store API

Portable `Vector Store API` across multiple providers, including a novel `SQL-like metadata filter API` that is also portable. Support for 14 vector databases are available.

### [](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/api/index.html#_tool_calling_api)Tool Calling API

Spring AI makes it easy to have the AI model invoke your services as `@Tool`-annotated methods or POJO `java.util.Function` objects.

![The main sequence of actions for tool calling](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/_images/tools/tool-calling-01.jpg)

Check the Spring AI [Tool Calling](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/api/tools.html) documentation.

### [](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/api/index.html#_auto_configuration)Auto Configuration

Spring Boot Auto Configuration and Starters for AI Models and Vector Stores.

### [](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/api/index.html#_etl_data_engineering)ETL Data Engineering

ETL framework for Data Engineering. This provides the basis of loading data into a vector database, helping implement the Retrieval Augmented Generation pattern that enables you to bring your data to the AI model to incorporate into its response.

![etl pipeline](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/_images/etl-pipeline.jpg)

## [](https://docs.spring.io/spring-ai/reference/1.1-SNAPSHOT/api/index.html#_feedback_and_contributions)Feedback and Contributions

The project’s [GitHub discussions](https://github.com/spring-projects/spring-ai/discussions) is a great place to send feedback.


Models

InfoSphere v2026.0.2 版本已经发布，增强多个功能模块，完善了更多的功能！

Models

Spring AI API

Introduction

AI Model API

Vector Store API

Tool Calling API

Auto Configuration

ETL Data Engineering

Feedback and Contributions

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