A vector database is a type of database specifically crafted for handling and querying vectorized data. In the realm of machine learning, data is often represented as vectors, which are numerical arrays used in various models for tasks like similarity searches. For instance, image recognition systems use vector databases to compare image feature vectors for identifying similar items. Unlike traditional databases, vector databases are optimized for high-dimensional data operations.