Cosine Similarity is used to determine how similar two entities are in a multi-dimensional space by examining the angle between them rather than their magnitude. It’s a measure often used in text analysis to compare the similarity of documents or vectors in high-dimensional spaces. For example, when comparing text documents, it evaluates how alike their word distributions are, making it invaluable in natural language processing tasks such as information retrieval and clustering.