Vector Database
A vector database is a specialized database designed to store, index, and efficiently query high-dimensional embedding vectors. Unlike traditional databases that match exact values, vector databases perform approximate nearest neighbor (ANN) searches to find semantically similar items in milliseconds, even across millions of records.
Example
A company stores product descriptions as embeddings in Pinecone (a vector database). When a customer searches "comfortable shoes for standing all day," the database finds the 10 most semantically similar product vectors and returns those products — even if none contain those exact words.
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