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Explore the comprehensive capabilities of the LangChain4j framework for building AI-powered Java applications in this conference talk from Devoxx Poland 2024. Discover how to integrate with virtually any LLM provider including OpenAI, Gemini, HuggingFace, Azure, and AWS, while learning to generate AI images directly from Java applications using Dall-E and Gemini. Master the fundamental building blocks of LLM-powered applications and understand how to chain them together into AI Services for seamless interaction with knowledge bases using advanced Retrieval-Augmented Generation (RAG) techniques. Dive deep into the Quarkus LangChain4j integration to see how minimal code is required when using Quarkus, experience how live reload simplifies prompt experimentation, and explore native image generation capabilities for deployment-ready AI applications. Learn how LLMs can return Plain Old Java Objects (POJOs) and interact with local models running on your machine. Gain practical technical knowledge and inspiration for designing next-generation applications through hands-on demonstrations and real-world examples presented by Georgios Andrianakis and Lize Raes.
