Spring AI is a framework within the Spring ecosystem that simplifies the integration of artificial intelligence capabilities into Java applications by providing abstractions over various AI services and models. It is designed to align with familiar Spring development patterns, allowing developers to incorporate AI features such as chat, embeddings, and prompt handling using consistent APIs. The framework supports multiple providers, including OpenAI, Azure OpenAI, and other compatible services, enabling flexibility in deployment strategies. It focuses on production readiness by offering features such as configuration management, observability, and integration with Spring Boot applications. Spring AI also includes support for retrieval-augmented generation, enabling applications to connect language models with structured and unstructured data sources. Its architecture encourages modular design, making it easier to extend or swap components without rewriting large parts of the system.
Features
- Spring-native abstractions for AI integration
- Built-in chat and prompt handling capabilities
- Support for multiple AI providers and APIs
- Integration with Spring Boot applications
- Support for retrieval-augmented generation
- Configurable and extensible architecture