Vector Search

Vector search is a technique used in information retrieval and machine learning that enables efficient similarity searches in high-dimensional data, such as images, text, and audio. By representing data as dense vectors, vector search allows startups to build applications that can quickly and accurately identify similar items, making it a crucial component in various use cases, including recommendation systems, image and video search, and natural language processing, thereby driving innovation and improving user experience.