Spring AI for Enterprise Java
Build production AI in enterprise Java with Spring AI 2.0 — ChatClient, model portability, structured output, RAG, tool calling, MCP, observability, evaluation, and security.
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1 What Is Spring AI? The Enterprise Java Framework for Calling Any AI Model Spring AI 2.0.0 explained for Java/Spring Boot teams: what it is, why it's not just an LLM wrapper, and a working ChatClient demo in 10 lines. Jul 11, 2026 -
2 Why Spring AI Fits Spring Boot Teams: The Patterns That Transfer Directly Spring AI reuses the Spring Boot patterns you already trust — DI, starters, auto-config. See the exact 2.0.0 wiring, mapped row by row. Jul 11, 2026 -
3 Spring AI ChatClient Explained: prompt → model → response, and reading token usage Spring AI 2.0.0 ChatClient walkthrough: system vs. user messages, .content() vs. .chatResponse(), and reading model + token usage from ChatResponseMetadata. Jul 11, 2026 -
4 Spring AI Model Portability: Switch Providers Without Rewriting Your App How Spring AI's ChatModel interface lets you swap OpenAI, Anthropic, Bedrock, Gemini, and local Ollama behind one ChatClient — with zero code changes. Jul 11, 2026 -
5 Structured Output in Spring AI: Turn Model Text Into Typed Java Records with .entity() AI models return text, not objects. Spring AI's .entity() converts that text into a typed, schema-validated Java record — the same move as Jackson, but for a model. Jul 11, 2026 -
6 RAG with Spring AI: Documents → Chunks → Embeddings → Vector Store → Grounded Answers Spring AI 2.0.0 RAG pipeline explained: QuestionAnswerAdvisor vs RetrievalAugmentationAdvisor, vector stores, and grounding answers in your own docs. Jul 11, 2026 -
7 Tool Calling in Spring AI 2.0: @Tool, ChatClient.tools(), and the Full Round Trip How Spring AI 2.0 tool calling works: @Tool methods, the ChatClient.tools() seam, the model-requests/code-decides round trip, and least-privilege denial. Jul 11, 2026 -
8 MCP with Spring AI: Connect AI to Tools the Standard Way (Spring AI 2.0.0) MCP standardizes the tool-calling handshake so any AI client can call your Java code. Wire a Spring Boot app as an MCP client and server in 2.0.0. Jul 11, 2026 -
9 Observability for Spring AI: Logging, Metrics, and Tracing Every Model Call Wire SimpleLoggerAdvisor and Micrometer tracing into Spring AI 2.0.0 — read a real ChatClient trace, track token cost, and build an audit trail. Jul 11, 2026 -
10 Spring AI Evaluation & Guardrails: RelevancyEvaluator, FactCheckingEvaluator, and CI Release Gates Spring AI's Evaluator interface turns a RAG answer into a JUnit assertion. Wire RelevancyEvaluator and FactCheckingEvaluator into a real CI release gate before you ship. Jul 11, 2026 -
11 Spring AI Security & Compliance: Where Secrets, Authorization, PII Boundaries, and Audit Logs Actually Live Spring AI 2.0.0 security and compliance, mapped: secrets, Spring Security authz, SafeGuardAdvisor/PII boundary, and audit logging — with real code. Jul 11, 2026 -
12 Spring AI Production Blueprint: ChatClient + RAG + Tools + Security + Observability in One Service The complete Spring AI 2.0.0 reference architecture: one @Service + @RestController wiring ChatClient, RAG, tool calling, and observability for production. Jul 11, 2026