Hnsw

HNSW, or Hierarchical Navigable Small World, is an algorithm used for efficient similarity search in high-dimensional spaces, enabling fast and accurate nearest neighbor searches in various applications. As a key technique in machine learning and data science, HNSW is particularly relevant to the tech community for its role in improving the performance of tasks such as image and text retrieval, recommendation systems, and natural language processing.