MadSystems Seminar
Quake: Adaptive Indexing for Vector Search
Event Details
Abstract: We will discuss Quake, an indexing system for vector search to appear in OSDI ’25. Quake is a partitioned index that dynamically adapts the index to the workload. Quake is guided by a cost model that predicts query latency based on index partition sizes and access frequency. Furthermore, it employs a recall estimation model to automatically meet query recall targets without tuning.
Bio: Jason is a graduating Ph.D. student here at UW advised by Shivaram Venkatarman and Theodoros Rekatsinas. He primarily works on retrieval systems.
We value inclusion and access for all participants and are pleased to provide reasonable accommodations for this event. Please email chenhaoy@cs.wisc.edu to make a disability-related accommodation request. Reasonable effort will be made to support your request.