java-ai-tech/spring-ai-summary

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.

269 stars.