In the context of a Vector Database, a Distance Metric refers to a mathematical function that takes two vectors as input and calculates a distance value representing their similarity or dissimilarity. The primary purpose of these metrics is to determine how close or distant the two vector embeddings are from each other.  Redis employs three distance measures to gauge the similarity of vectors. Selecting an effective distance measure considerably enhances classification and clustering performance.