Crafting Intelligent Applications in Java with Quarkus / LangChain4j
summary
Demonstrates a reproducible Java stack: Quarkus DevMode plus LangChain4j and annotations that generate LLM-backed implementations from a Java interface, with annotated methods exposed as callable tools for function‑calling. Shows DevUI hitting ChatGPT/Gemini, Postgres DevServices auto-spinning a test container, LLM-generated SQL from a provided schema (query compression → SQL → execution) and a working RAG chatbot. Claims Quarkus compiles to native via GraalVM, cites ~700 extensions and ~1.5–2 years for LangChain4j and an energy claim about GPT‑4 training.
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chapters (7)
- 0:00Quarkus and AI journey
- 10:15Quarkus AI project setup
- 16:38Smart endpoints with LangChain4j
- 22:48Tools and LLM agents
- 27:23Chatbot with RAG and SQL
- 33:33AI in Java and Quarkus
- 35:00Q&A on model safety
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