Spring AI: Complete Guide 2026
JavaAI Agent Framework4k+ stars
Last updated:
Overview
An application framework by VMware for building AI-powered Java applications using the Spring ecosystem. Spring AI brings familiar Spring abstractions like auto-configuration, dependency injection, and portable APIs to AI engineering with support for all major model providers.
Key Features
✓Spring Boot auto-configuration for AI providers
✓Portable API across OpenAI, Azure, Ollama, and more
✓Vector store abstraction with multiple backends
✓Structured output conversion with POJOs
✓Function calling for tool use patterns
✓Document ETL pipeline for RAG applications
Use Cases
- → Enterprise Java applications with AI capabilities
- → Spring Boot microservices needing LLM integration
- → RAG systems built on existing Java infrastructure
- → AI-powered APIs in Java/Kotlin backends
Pros & Cons
Pros
- +Leverages massive Spring ecosystem and community
- +Familiar patterns for Java/Kotlin developers
- +Enterprise-grade with Spring Boot integration
- +Clean abstractions across multiple AI providers
Cons
- -Java/Kotlin only — no Python or TypeScript support
- -Still in active development with API changes
- -Fewer AI-specific features than Python-first frameworks
Frequently Asked Questions
What is Spring AI?▾
An application framework by VMware for building AI-powered Java applications using the Spring ecosystem. Spring AI brings familiar Spring abstractions like auto-configuration, dependency injection, and portable APIs to AI engineering with support for all major model providers.
What language is Spring AI built in?▾
Spring AI is primarily built in Java.
Is Spring AI good for production?▾
Spring AI has 4k+ GitHub stars. Leverages massive Spring ecosystem and community for enterprise java applications with ai capabilities.