Vector Database
A database that stores embeddings and finds the most similar ones fast; the memory behind RAG.
A Vector Database stores embeddings and quickly finds the ones most similar to a query. It is the "memory" behind retrieval-augmented chatbots: your documents are embedded and stored, and at answer time the system pulls the closest matches to ground the AI's reply in facts.