Spring Boot AI

Overview

Expert guidance for integrating AI capabilities with Spring Boot 4 and Spring AI 1.1.7. Covers the full AI integration lifecycle: model connectivity, chat client API, tool calling, retrieval augmented generation, vector stores, advisors, MCP, and production observability.

Key Capabilities:

• ChatModel/StreamingChatModel abstraction across 20+ AI providers
• ChatClient fluent API for synchronous and streaming interactions
• Tool Calling with @Tool annotation and function-based tools
• RAG pipelines with VectorStore, Document ETL, and Query Augmentation
• Advisor API for chat memory, Q&A, and cross-cutting concerns
• VectorStore abstraction over 20+ vector database providers
• Model Context Protocol (MCP) client/server support
• Observability with Micrometer metrics and distributed tracing
• Image, Audio, and Embedding model support
• Structured Output conversion to POJOs

When to Use