Models Retrieval
Vector Search
A search method that converts content into numerical vectors to find semantically similar items based on meaning rather than exact keyword matches.
Vector Search is a AI and machine learning concept that a search method that converts content into numerical vectors to find semantically similar items based on meaning rather than exact keyword matches.
Understanding vector search is important for modern SEO professionals as it relates to how content is discovered, indexed, and surfaced to users through both traditional search engines and AI systems.
Effective implementation of vector search practices can improve your content's visibility and performance in search results.