Vector Databases: A Technical Primer [pdf]




Vector databases are a specialized type of database designed to store, manage, and process high-dimensional data representations known as vectors. Unlike traditional databases that store data in rows and columns, vector databases store data as vectors in a multi-dimensional space. Each vector represents mathematical arrays of numbers that represent the characteristics or attributes of data points. (View Highlight)

By encoding data as multi-dimensional vectors (i.e. number arrays) reflecting semantic relationships, vector databases can perform advanced analytic operations such as similarity search, clustering, and classification far faster than conventional systems. (View Highlight)review