Vector search is a retrieval technique that finds relevant information based on semantic similarity rather than exact keyword matching. By comparing vector embeddings, it can surface results that match the intent of a query, even if the wording is different. In enterprise AI, vector search enables more intuitive and effective discovery of information across knowledge bases, documents, and media assets.