Litcius/Paper detail

Milvus

Jianguo Wang, Xiaomeng Yi, Rentong Guo, Hai Jin, Peng Xu, Shengjun Li, Xiangyu Wang, Xiangzhou Guo, Chengming Li, Xiaohai Xu, Kun Yu, Yuxing Yuan, Yinghao Zou, Jiquan Long, Yudong Cai, Zhenxiang Li, Zhifeng Zhang, Yihua Mo, Gu Jun, Ruiyi Jiang, Yi Wei, Charles Xie

2021317 citationsDOIOpen Access PDF

Abstract

Recently, there has been a pressing need to manage high-dimensional vector data in data science and AI applications. This trend is fueled by the proliferation of unstructured data and machine learning (ML), where ML models usually transform unstructured data into feature vectors for data analytics, e.g., product recommendation. Existing systems and algorithms for managing vector data have two limitations: (1) They incur serious performance issue when handling large-scale and dynamic vector data; and (2) They provide limited functionalities that cannot meet the requirements of versatile applications.

Topics & Concepts

Computer scienceUnstructured dataData scienceAnalyticsData modelingData miningProduct (mathematics)Big dataSoftware engineeringGeometryMathematicsAdvanced Image and Video Retrieval TechniquesImage Retrieval and Classification TechniquesMachine Learning and Data Classification
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