Spring AI

The Spring AI API provides a comprehensive suite of functionalities designed to integrate artificial intelligence capabilities seamlessly within Spring applications. Here’s a summary of its key features:

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1. Portable API for AI Providers: Offers a unified API that works across various AI providers, covering services for Chat, Text to Image, and Embedding models. It supports both synchronous and stream API options, with the flexibility to access model-specific features. Major AI model providers like OpenAI, Microsoft, Amazon, Google, and Huggingface are supported.
2. Function Calling with AI Models: Simplifies the process of having an AI model invoke Java’s java.util.Function objects, allowing for direct interaction between AI models and your Plain Old Java Objects (POJOs).
3. Vector Store Integration: Features a portable API for Vector Store providers, including a novel SQL-like metadata filter API that is also portable. It supports 8 vector databases, facilitating easy integration and manipulation of vector data.
4. ETL Framework for Data Engineering: Includes an ETL (Extract, Transform, Load) framework designed for data engineering tasks. This framework supports the loading of data into vector databases and implements the Retrieval Augmented Generation pattern, enabling the enhancement of AI model responses with your own data.

GitHub - omerfarukicen/spring-ai