Architecting a Deep Research System
🎥 From the MLOps World | GenAI Summit 2025 — Virtual Session (October 7, 2025) Session Title: Architecting a Deep Research System Speaker: Suhas Pai, CTO & Co-founder, Hudson Labs Talk Track: Agents in Production Abstract: Over the past year, leading AI labs have released powerful “Deep Research” systems—AI tools capable of searching across vast data sources and producing comprehensive, multi-source reports in response to user queries. In this session, Suhas Pai breaks down the anatomy of Deep Research systems, exploring the architectural, engineering, and infrastructural tradeoffs that go into building them. He discusses promising paradigms for scalable, intelligent research agents and the real-world considerations that separate experimental prototypes from production-ready implementations. What you’ll learn: - Understand the potential and core components of Deep Research systems - Navigate key tradeoffs in designing and scaling such systems - Explore architectural paradigms and best practices for building production-grade Deep Research systems.
