VectorDB

A vector database is a specialized type of database designed to store, index, and query high-dimensional vectors efficiently. These databases are optimized for operations like nearest neighbor search, which is crucial for tasks such as finding similar items or clustering data points in machine learning and artificial intelligence applications. Vector databases are particularly beneficial for developers and data scientists working on natural language processing, image recognition, and recommendation systems.

VectorDB was discovered on February 12th 2024 and it currently has a search volume of 3.6K with a growth of +7800%.