Vector Databases

A vector database is a type of database that stores data as vector embeddings, which are high-dimensional mathematical vectors that represent data (such as text, audio, images, and videos) in numerical values. Vector databases are becoming increasingly popular for their ability to efficiently handle similarity searches across thousands of columns, which can be challenging for traditional SQL databases. They can also arrange embeddings into clusters that are similar to each other, allowing AI algorithms to more easily process and understand the data.