Similarity search is a computational technique used to identify items that are similar to a given query item within a dataset. It is widely used in various fields such as information retrieval, machine learning, data mining, and computer vision, among others. The goal is to retrieve objects that are close to or resemble the query based on certain criteria or metrics.
New to topics? Read the docs here!