GenAI & BeyondConference50min
Level Up Your LangChain4j Apps for Production
This session introduces LangChain4j’s newest features for real-world AI applications, including agents, guardrails, observability, multi-LLM orchestration, and advanced RAG. Through a drug discovery demo, attendees will learn effective techniques for data integration and testing, gaining practical skills to move AI projects from proof-of-concept to production.
Lize RaesOracle
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Room 9
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Join the maintainers of LangChain4j for a fast-paced tour of its latest features and how to use them in real-world apps. We’ll demo an AI researcher agent for drug discovery while covering concepts like guardrails, observability, multi-LLM orchestration, agents, and testing for non-deterministic systems. We’ll also explore advanced RAG, basic RAG’s less clumsy big brother, to give your models access to data from documents, databases, and the web. By the end of this talk, you'll be ready to take your AI-powered proof-of-concept to production.
Lize Raes
Lize Raes loves helping developers to bring AI into real-world applications. As Developer Advocate for Java + AI at Oracle and collaborator at LangChain4j, she’s invested into making cutting-edge tech accessible and useful for developers. Her path has taken her from cochlear implant research to advising the Belgian government during COVID-19, to bioinformatics for drug development. Lize likes her projects hands-on and slightly unconventional, especially when they help make the world a bit better. Outside of work, you’ll find her behind the piano or in her woodworking atelier.