Vector Indexing

Vector indexing is a technique used to efficiently organize and search large datasets of high-dimensional vectors, such as those used in machine learning and artificial intelligence applications. By enabling fast similarity searches and nearest neighbor queries, vector indexing plays a crucial role in various tech applications, including image and video recognition, natural language processing, and recommendation systems, making it a vital tool for developers and data scientists working with complex data.