In many applications, such as machine learning, data compression, and information retrieval, we often need to find the nearest neighbors of a given data point in a high-dimensional space. However, as the dimensionality of the data increases, the computational cost of finding the exact nearest neighbors becomes prohibitively expensive. This is where Approximate Nearest Neighbors (ANN) algorithms come into play.