The Trinity in GenAI
summary
Claims that Java alone builds GenAI apps without Python, requires no ML engineer, and launches Java-only GenAI workflow using Spring AI, LangChain4J and OpenAI. Demos use OpenAI image generation (creates a Tesla image successfully), a RAG pipeline with Oracle Database 23 AI vector store holding embeddings, and a LangChain4J CV ingestion that changes answers after indexing. RAG reduces factual errors but LLM responses remain non-deterministic; all code samples run live against cloud APIs.
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chapters (11)
- 0:00Introduction
- 1:51Java developers and GenAI
- 4:43GenAI ecosystem 2024
- 13:15Spring AI for Java
- 15:01LangChain for Java
- 16:50OpenAI and pre-trained models
- 18:57RAG use cases
- 24:35Oracle 23c AI vector search
- 27:43Live GenAI demos
- 33:39Technical references and opportunities
- 36:08Q&A
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