Spring AI API

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:

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

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

spring ai chat completions clients

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.

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

Check the Spring AI Tool Calling documentation.

Auto Configuration

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

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

Feedback and Contributions

The project’s GitHub discussions is a great place to send feedback.