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NSDI '23 - Fast, Approximate Vector Queries on Very Large Unstructured Datasets
May 15, 2023, 11:27 p.m. | USENIX
USENIX www.youtube.com
Zili Zhang and Chao Jin, Peking University; Linpeng Tang, Moqi; Xuanzhe Liu and Xin Jin, Peking University
The breakthroughs in deep learning enable unstructured data to be represented as high-dimensional feature vectors for serving a wide range of applications. Processing vector queries (i.e., finding the nearest neighbor vectors for an input vector) for large unstructured datasets (with billions of items) is challenging, especially for applications with strict service level objectives (SLOs). …
applications data datasets deep learning enable fast high large tang university unstructured data
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