4 papers
Approximate Nearest Neighbor Search of Large Scale Vectors on Distributed Storage
Kun Yu, Jiabao Jin, Xiaoyao Zhong +6
Approximate Nearest Neighbor Search (ANNS) in high-dimensional space is an essential operator in many online services, such as information retrieval and recommendation. Indices con…
EnhanceGraph: A Continuously Enhanced Graph-based Index for High-dimensional Approximate Nearest Neighbor Search
Xiaoyao Zhong, Jiabao Jin, Peng Cheng +5
Recently, Approximate Nearest Neighbor Search in high-dimensional vector spaces has garnered considerable attention due to the rapid advancement of deep learning techniques. We obs…
TierBase: A Workload-Driven Cost-Optimized Key-Value Store
Zhitao Shen, Shiyu Yang, Weibo Chen +12
In the current era of data-intensive applications, the demand for high-performance, cost-effective storage solutions is paramount. This paper introduces a Space-Performance Cost Mo…
VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search
Xiaoyao Zhong, Haotian Li, Jiabao Jin +11
Approximate nearest neighbor search (ANNS) is a fundamental problem in vector databases and AI infrastructures. Recent graph-based ANNS algorithms have achieved high search accurac…