Blazingly Fast GenAI App Development Java and Spring AI
summary
Claims a complete GenAI stack using Spring AI + OpenAI + Oracle Database 23 AI to build production Java apps, demonstrating image generation (Tesla with Lithuanian flag), synthetic audio files, and a function-calling flow that returns beers by country. Implements RAG with vector embeddings stored in Oracle DB 23 AI (over 200 new features) and recommends performance tactics: virtual threads and GraalVM. Some live RAG demos fail but core examples compile and run.
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chapters (11)
- 0:00🚀 Introduction to GenAI and Java in Spring AI
- 6:30Understanding generative AI and synthetic content generation
- 10:00What is AGI (Artificial General Intelligence) and how it relates to GenAI
- 15:00Exploring OpenAI and how to interact with models like GPT-4 for generative tasks
- 21:03Using Spring AI to integrate generative AI into Java applications
- 25:04Key features of Oracle Database 23 AI and its vector search capabilities
- 30:14Implementing RAG (Retrieval Augmented Generation) for enhancing responses
- 35:33Demonstrating AI image generation and multi-modal capabilities with Spring AI
- 37:00Function calling with GenAI models and external APIs for better flexibility
- 40:00Best practices for optimizing Java applications using virtual threads and GraalVM
- 43:00Wrapping up: Exploring resources for Java and database developers, and how to access them
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