spring-ai-summary and spring-ai-apps
These are ecosystem siblings: one provides a reusable Spring AI framework with MCP and embedding support, while the other offers example applications demonstrating how to build with Spring AI.
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-apps
piomin/spring-ai-apps
Sample Spring AI Applications
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work