spring-ai-summary and spring-ai-demo
These are ecosystem siblings where A provides a foundational Spring AI framework with LLM and embedding capabilities, while B is a downstream demo/example project that builds Spring AI applications using A's abstractions alongside Alibaba's frameworks for practical agent development.
About spring-ai-summary
java-ai-tech/spring-ai-summary
SpringAI，LLM，MCP，Embedding
Provides modular code examples and learning pathways for building production Spring AI applications—covering chat integration with multiple LLM providers (Deepseek, OpenAI, etc.), tool calling, vector database retrieval, and advanced patterns like MCP, RAG, and agents. Built on Spring Boot 3.3+ with built-in metrics collection via Spring Boot Actuator for monitoring token usage across different models. Includes Docker-ready configurations for vector databases (Milvus) and infrastructure components, with clear progression from basic chat applications to sophisticated agentic systems.
About spring-ai-demo
liuyueyi/spring-ai-demo
基于SpringAI & alibaba框架进行大模型应用开发、Agent开发的示例工程
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