The original title is: "LangChain4j and Spring AI: The Plumbing to make your Java Apps talk to LLMs"

Short summary

A practical tutorial covering LangChain4j and Spring AI for integrating LLMs into Java applications without a Python sidecar. It builds from a basic chat endpoint to production-ready features like structured outputs, RAG over internal docs, and function calling. The core insight is that an LLM is a stateless function — everything else is plumbing that Java developers already know how to build.

• •Spring AI 2.0 and LangChain4j bring LangChain-style LLM integration to Java natively, no Python sidecar needed
• •Tutorial progresses from basic chat endpoint to RAG and function calling with code examples
• •Frames LLM as a stateless function — all surrounding infrastructure is familiar plumbing work

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