Mark7766/spring-ai-apps

Provides pre-configured, minimal starter applications demonstrating Spring AI patterns across embedding models, vector databases (Chroma, Neo4j), and tool calling—each with resolved dependency versions to accelerate learning. Implements practical patterns like GraphRAG for knowledge graphs, streaming multi-turn conversations with memory, and MCP server/client architectures for extensible AI workflows. Targets developers building production-ready Spring applications requiring local inference (Ollama), private data RAG pipelines, and standardized protocol integration without dependency conflict overhead.