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Explore advanced LangChain4j features and production-ready techniques in this 54-minute conference talk from Devoxx. Join the maintainers of LangChain4j for a comprehensive demonstration using an AI researcher agent for drug discovery as the primary example. Learn essential production concepts including implementing guardrails for safety and reliability, setting up observability systems for monitoring AI applications, orchestrating multiple large language models effectively, building intelligent agents, and developing testing strategies for non-deterministic AI systems. Discover advanced Retrieval-Augmented Generation (RAG) techniques that surpass basic RAG implementations, enabling your models to access and utilize data from various sources including documents, databases, and web resources. Master the transition from AI-powered proof-of-concept applications to robust, production-ready systems through practical examples and real-world implementation strategies.
Syllabus
Level Up Your LangChain4j Apps for Production by Lize Raes
Taught by
Devoxx