Spring AI
Spring framework for building AI-powered Java applications with portable model and vector store abstractions
Spring AI is an application framework that brings Spring design principles to AI engineering on the JVM. It provides a portable API across 20+ AI model providers including Anthropic, OpenAI, Google, Amazon Bedrock, Azure, and Ollama. Features a ChatClient fluent API, built-in RAG support, chat conversation memory, and an ETL framework for document ingestion. Integrates with all major vector databases (PGVector, Pinecone, Chroma, Milvus, Qdrant, Weaviate). Supports function/tool calling, Model Context Protocol (MCP), multimodality, and structured output.
Pricing: Free
Spring AI Alternatives
Explore 31 products in the Frameworks & Stacks category. View all Spring AI alternatives.
Mastra
TypeScript-first AI framework for building agents, RAG pipelines, and workflows
vLLM
High-throughput LLM inference engine with PagedAttention for efficient GPU memory usage
Ollama
Run large language models locally with a single command
Dify
Easily build and operate generative AI applications. Create Assistants API and GPTs based on any LLMs.
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