A vector database is a type of database that is designed to store and query highdimensional data, such as vectors. Vectors are mathematical objects that represent points in a multidimensional space, and they are often used to represent complex data, such as images, videos, and text.
Additionally, vector databases can also be used to perform similarity searches. This means that you can find similar vectors in a database, which can be useful for tasks such as image recognition, video retrieval, and recommendation systems. For example, a vector database could be used to find similar images or videos in a large dataset, or to recommend products that are similar to ones that a user has already purchased.
