Langchain4j Deep Dive for Java Developers

Title: Langchain4j Deep Dive for Java
This deep-dive session is designed for Java developers eager to build sophisticated AI-powered features. We'll go beyond the basics and explore the core concepts and practical applications of the Langchain4j framework. Through multiple live demonstrations using Quarkus Langchain4j integration, you'll witness firsthand how to seamlessly integrate with various LLM providers (OpenAI, Gemini, HuggingFace, and more), generate AI images, interact with local models, and structure LLM responses into usable Java objects (POJOs). Discover how to construct robust AI Services by chaining together fundamental Langchain4j building blocks and learn advanced Retrieval-Augmented Generation (RAG) techniques to connect your LLM applications with your own knowledge base. By the end of this session, you'll gain the practical skills and understanding to leverage Langchain4j and build innovative, intelligent Java solutions.

About Speaker: Daniel Oh is a Java Champion and Senior Principal Developer Advocate at Red Hat, where he leads efforts to advance cloud-native innovation through open-source technologies. Renowned for his ability to bridge technical and collaborative gaps, he empowers developers and organizations to build transformative solutions—from AI-driven applications and serverless architectures to resilient microservices.