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This 49-minute conference talk by Urs Peter at Devoxx explores how JVM developers can leverage generative AI using Kotlin frameworks. Discover how Spring AI and LangChain4j enable Java, Kotlin, Scala, and Groovy developers to harness AI capabilities despite Python's dominance in the field. Learn to interact with Large Language Models across multiple media formats, implement semantic search with embeddings and vector databases, and build retrieval-augmented generation (RAG) solutions. Watch as a real-world generative AI application is built live while clearly explaining both framework implementations and fundamental AI concepts. Compare the strengths and weaknesses of Spring AI and LangChain4j, gaining practical knowledge to implement these technologies in enterprise environments. By the end of this session, understand today's AI buzzwords and be equipped to implement generative AI solutions using JVM languages.
