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Explore advanced LangChain4j features essential for building production-ready AI applications in this comprehensive conference talk. Discover how the LangChain4j team developed an AI researcher agent capable of drug discovery, demonstrating critical production features including moderation tools, architectural strategies for integrating multiple LLMs and agents, and robust evaluation methods for non-deterministic applications. Learn about crucial business considerations such as selecting between local and commercial models, understanding pricing implications, ensuring data privacy, and implementing proper observability. Dive into advanced retrieval-augmented generation (RAG) techniques that enable accurate model grounding with dynamically retrieved information from documents, databases, and web sources. Gain insights from Lize Raes, Product Manager and Developer Advocate at Naboo and LangChain4j collaborator, who brings extensive experience from cochlear implant research, bioinformatics engineering for drug development, and government advisory roles during COVID-19.
