Spring into the AI Era: A Practical Exploration for Developers
summary
Hands-on walkthrough that builds a Spring Boot app from the CLI, wires it to Azure OpenAI using GPT 35 turbo 16k, and shows embeddings + retrieval augmented generation with a local bikes.json corpus and a Vector store pattern (mentions Cosmos DB). Live demos run via Maven spring-boot: a joke endpoint, prompt templating, output parser that extracts actor→films, and a RAG QA endpoint; codegen via spring AI CLI and GitHub Copilot. Most demos succeed; one demo shows a transient port contention error.
AI-written summary · about
chapters (7)
- 0:00Introduction to generative AI
- 1:43Generative AI concepts
- 5:38Spring AI framework
- 8:52How prompts and models work
- 13:21Spring AI development guide
- 19:43Practical demonstrations
- 45:27Responsible AI and wrapping up
related talks
02h 43mSpring into the AI Era: A Practical Exploration for Developers (Workshop)
28mPaving a Painless Path to Production AI in Your Java Applications
52mIntelligent Beans with Spring AI
01h 00mSpring AI
28mSpring AI: Streamlining Java Enterprise AI Development and Deployment
45mThe Overwhelmed Spring Developer's Guide To AI
54mSpring AI Is All You Need
45mFrom RAG to Enterprise AI Agents: Building Intelligent Java Apps
