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Explore the architectural foundations and engineering considerations behind building production-ready Deep Research systems in this 30-minute conference talk from the MLOps World GenAI Summit 2025. Learn how leading AI labs have developed powerful AI tools capable of searching vast data sources and generating comprehensive, multi-source reports in response to user queries. Discover the core components that make up Deep Research systems and understand their potential applications in real-world scenarios. Navigate the critical tradeoffs involved in designing and scaling these complex systems, from experimental prototypes to production-ready implementations. Examine promising architectural paradigms for building scalable, intelligent research agents and gain insights into the infrastructural considerations that separate successful deployments from failed experiments. Master best practices for implementing production-grade Deep Research systems while understanding the real-world engineering challenges that must be addressed when moving from concept to deployment.
