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Enterprise AI with Spring AI
Move beyond basic chatbots. Architect resilient, production-grade AI applications in Java using Spring AI, RAG pipelines, Tool Calling, and Model Context Protocol (MCP).
Session Overview
Enterprise Java teams don’t need to switch to Python to build state-of-the-art AI systems. In this workshop, your team learns how to integrate Large Language Models cleanly into existing Spring Boot architectures with strict observability, type safety, and testability.
Key Topics Covered
- The Spring AI Foundation: Portable abstractions across OpenAI, Anthropic, and local models (Ollama/vLLM) using the fluent
ChatClientAPI and structured Java Record outputs. - Advisors & Guardrails: Intercepting prompts, managing conversation memory, logging token usage, and enforcing safety boundaries.
- Production-Grade RAG: Designing document ingestion pipelines, chunking strategies, metadata filtering, and hybrid vector search.
- Agentic Systems & MCP: Equipping models with deterministic Java
@Toolmethods and connecting to external Model Context Protocol (MCP) servers.
Prerequisites
Solid working knowledge of modern Java and Spring Boot.