Hierarchical Navigable Small World (HNSW) is a technique for efficient approximate nearest neighbor search in large-scale datasets. It constructs a multi-layer graph structure, enabling faster and more accurate search results in various applications such as information retrieval, computer vision, and machine learning. The hierarchical structure allows for logarithmic complexity scaling, making it highly efficient for large-scale datasets.