What is a vector database and when do you need one beyond PostgreSQL pgvector?

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A vector database stores high-dimensional embeddings — arrays of floats produced by an ML model that place semantically similar items close together — and answers nearest-neighbour queries: "find the 10 vectors most similar to this one". It powers semantic search, recommendations…