Java and AI - Build LLM App with LangChain4j - Part 2

Explore the comprehensive capabilities of the LangChain4j framework in this 51-minute conference talk from Devoxx Poland 2024. Discover how to integrate virtually any LLM provider including OpenAI, Gemini, HuggingFace, Azure, and AWS into your Java applications with ease. Learn to generate AI images directly from Java using Dall-E and Gemini, configure LLMs to return Plain Old Java Objects (POJOs), and interact with local models running on your machine. Master the fundamental building blocks of LLM-powered applications and understand how to chain them together into AI Services for sophisticated functionality. Gain insights into advanced Retrieval-Augmented Generation (RAG) techniques for interacting with your knowledge base effectively. Dive deep into the Quarkus LangChain4j integration and see how minimal code is required when leveraging Quarkus features. Experience how live reload capabilities streamline prompt experimentation and explore native image generation capabilities designed to make your AI-powered applications deployment-ready quickly. Walk away with practical technical knowledge and inspiration for designing next-generation applications that harness the power of artificial intelligence within the Java ecosystem.