What is a vector database?
A vector database stores and indexes numerical representations of data to support nearest-neighbor search.
Similarity search
A model turns input into an embedding; a similarity measure and index retrieve candidates. Metadata filters and keyword search can refine results.
Uses and limitations
It supports semantic search and recommendations. Vector proximity does not imply factual accuracy; model versioning, access control and evaluation matter.
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