Engineering

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.

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