Vector databases store embeddings and enable fast nearest-neighbor search. When you ask 'find documents similar to this query,' the vector database converts your query to an embedding and finds the closest stored vectors.
Popular vector databases include Pinecone, Weaviate, Qdrant, Chroma, and pgvector (PostgreSQL extension). They use algorithms like HNSW or IVF for approximate nearest-neighbor search at scale.