Spring AI
AI application framework for Java and Spring Boot.
Brings portable chat, embedding and image model APIs, vector-store integrations, tool calling, MCP and RAG advisors to Spring Boot applications.
- Vendor
- Broadcom (Spring)
- Category
- LLM & RAG frameworks
- Pricing
- Open source
- Open source
- Yes
- License
- Apache 2.0
- Platforms
- Java
- Launched
- 2023
- Website
- spring.io/projects/spring-ai
Features
- Portable model APIs
- Vector store integrations
- MCP support
Best for
- Enterprise
- Chat & assistants
More llm & rag frameworks
- LangChain — LangChain. The most widely used LLM application framework.
- AI SDK — Vercel. The TypeScript toolkit for AI apps.
- LlamaIndex — LlamaIndex. Data framework for RAG and document agents.
- DSPy — Stanford NLP. Program — don’t prompt — language models.
- Haystack — deepset. Production-ready RAG pipelines.
- Instructor — Jason Liu & community. Pydantic-typed structured outputs from any LLM.
- Outlines — .txt (dottxt). Guaranteed structured generation with regex, JSON Schema and grammars.
- LangChain4j — LangChain4j. LLM integration library for Java.