AI & Machine Learning
Vector Database
A database optimized for storing and querying high-dimensional embeddings for similarity search.
Definition
A vector database stores high-dimensional embeddings produced by models like text-embedding-3-small and provides efficient similarity search through indexes such as HNSW or IVF. In SEO and content systems, vector databases enable semantic search, related content discovery, and entity-level retrieval that surpass keyword-only methods. They are foundational for production-scale AI features like internal link recommendation, semantic clustering, and personalization.