Vector Database
A vector database stores vector embeddings and quickly retrieves the content closest in meaning to a given query.
Unlike a classic database that looks for exact matches, a vector database computes distance between vectors to find the results most similar in meaning.
It's the typical storage component of a RAG system. A website that wants to be well retrieved by an AI agent benefits from structuring its content so it indexes cleanly in this kind of database.