What is Vector DBs?

Vector databases are specialized databases designed for storing, managing, and querying vector embeddings. These embeddings represent data points as numerical vectors in a high-dimensional space, capturing semantic relationships and similarities between them. Vector DBs are commonly used in applications like similarity search, recommendation systems, image retrieval, and natural language processing to efficiently find the nearest neighbors of a query vector.