Agentic AI and Retrieval

The Agentic AI and Retrieval group studies how intelligent agents can search, reason with, and act on information in complex environments. We combine information retrieval, applied machine learning, and foundation models to build systems that perform multi-step web search, integrate evidence from heterogeneous sources, and coordinate with humans or other agents. A particular focus is agentic information retrieval: understanding how AI agents search differently from people and how retrieval systems should adapt to these new users. The group develops open, reproducible methods and infrastructure for reliable, efficient, transparent, and controllable AI, with web search serving as both a core research problem and a real-world testbed.