The Overwhelmed Spring Developer's Guide To AI
summary
A demo builds a drive‑thru ordering flow using Spring AI plus Spring Boot, Spring Batch, and Spring Cloud Stream: it records audio with JavaFX, uses speech-to-text (OpenAI) to transcribe, runs chat completions for confirmations, applies retrieval-augmented generation against a loaded vector store (PGVector) to reject impossible items, calls a small pricing tool (hardcoded $2 multiplier) and publishes fulfillment via Rabbit. The batch job loads embeddings from PDFs into PGVector, the RAG advisor and tools run, and the end‑to‑end demo works as shown.
AI-written summary · about
chapters (7)
- 0:00Introduction and welcome
- 3:11AI in development workflow
- 12:58Cognitive load and AI models
- 24:55Demo phase one speech to text
- 25:16Demo phase two validation with RAG
- 34:17Demo phase three pricing and fulfillment
- 43:19Summary and closing
related talks
28mSpring AI: Streamlining Java Enterprise AI Development and Deployment
54mAI 202: Next-Level AI Mastery for Java Developers
51mIntelligent Applications with Spring AI
55mSpring into the AI Era: A Practical Exploration for Developers
49mPractical AI in Java
52mIntelligent Beans with Spring AI
44mJava Meets AI: Empowering Spring Developers to Build Intelligent Apps
49mSpring AI: Seamlessly Integrating AI into Your Enterprise Java Applications