Level Up Your LangChain4j Apps for Production

A conference talk covering practical tips for building production-ready AI applications with LangChain4j. Key topics include advanced RAG techniques (query transformers, query routers, re-ranking, content injectors), extended tool calling features (return-immediate behavior, dynamic tool filtering, AI services as tools), MCP server integration with security considerations, and a 13-step framework for designing agentic systems. The talk also covers guardrails, nondeterministic testing strategies, observability, model drift prevention, and a live demo of an AI drug discovery agentic system built as a state machine.