Vector database

A specialized database designed to efficiently store, index, and query high-dimensional vector data, often utilized in machine learning and AI applications for tasks like similarity search. It differentiates itself by providing optimized performance for handling large-scale vector data, enabling rapid retrieval and analysis of complex datasets. The primary users of vector databases are data scientists and AI researchers who require efficient data management solutions for high-dimensional data processing.

Vector database was discovered on August 13th 2024 and it currently has a search volume of 60.5K with a growth of +4900%.