SPFresh: Incremental In-Place Update for Billion-Scale Vector Search

作者：Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li, Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang · 年份：2023 · DOI：10.1145/3600006.3613166 · 被引用次数：51 · 研究领域：Advanced Image and Video Retrieval Techniques、Data Management and Algorithms、Algorithms and Data Compression

Approximate Nearest Neighbor Search (ANNS) on high dimensional vector data is now widely used in various applications, including information retrieval, question answering, and recommendation. As the amount of vector data grows continuously, it becomes important to support updates to vector index, the enabling technique that allows for efficient and accurate ANNS on vectors.