Vector Database
A vector database is a type of database optimized for storing and querying high-dimensional vector data. This kind of data often comes from machine learning models, where objects like text, images, or audio are represented as vectors in a multi-dimensional space. Vector databases are used to perform similarity searches, where you want to find vectors that are closest to a given query vector, which is crucial for tasks like recommendation engines, image recognition, natural language processing, and more.
