Vector Database
A store built to index and search embeddings by nearest-neighbor similarity at scale.
A vector database indexes high-dimensional embeddings and answers “which vectors are closest to this one?” fast, using approximate nearest-neighbor indexes (HNSW, IVF). It’s the retrieval backbone of RAG and semantic search.