About this talk
This talk explores the evolution of Large Language Models from simple question-answering tools to robust agents that can plan and interact with various systems. The speaker demonstrates how to create a comprehensive agentic workflow using the LangChain4j-agentic module and a local model with Ollama. Key topics include defining typed Java agents, integrating tools for business actions, orchestrating multi-step workflows, and enabling autonomous behavior through a Supervisor. Aimed at Java developers and architects, this session provides practical insights, runnable Java code, and essential design patterns, helping attendees implement agentic AI effectively in enterprise environments.
