Whitepaper
Milvus: A Purpose-Built Vector Data Management System
June 20, 2021
Used to build performant similarity search solutions
Recently, there has been a trend toward managing high-dimensional vector data in data science and AI applications. To use the proliferation of unstructured data, developers use machine learning (ML) to transform unstructured data into feature vectors for data analytics. Unfortunately, existing systems and algorithms for managing vector data have limited functions and usually incur serious performance issues when handling large-scale and dynamic vector data.
In this paper, you will learn how Milvus, a purpose-built data management system, can efficiently manage large-scale vector data. It supports easy-to-use SDKs and RESTful APIs; optimizes for the heterogeneous computing platform with modern CPUs and GPUs; enables advanced query processing beyond simple vector similarity search; handles dynamic data for fast updates while ensuring efficient query processing; and distributes data across multiple nodes to achieve scalability and availability.
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