A Vector Database is a type of database that stores data as high-dimensional vectors. These vectors represent the features or attributes of the data. Vector databases are optimized for similarity search, which means finding vectors that are close to a given query vector. They are commonly used in applications such as recommendation systems, image retrieval, natural language processing, and anomaly detection, where finding similar items or data points is essential.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
Use Sumble to: