What is a Vector Database?
Vector databases are specialized databases designed to efficiently store, index, and search large volumes of unstructured vector data, commonly used in artificial intelligence (AI) applications. They combine the capabilities of traditional databases with the ability to handle vector embeddings, which are numerical representations of data that capture its meaning and relationships. This makes vector databases well-suited for tasks such as image recognition, natural language processing, and recommendation systems.
