A vector index is a structured data system that organizes and stores embeddings in a way that enables efficient similarity search. It allows large language models and retrieval engines to rapidly locate the nearest vectors — and therefore the most semantically relevant content — when generating answers. In AI Search Optimization, the vector index is the retrieval layer that determines which content surfaces for citation.