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Metadata filtering: boost search precision as data grows
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Vector search is great at finding things that are semantically similar, but similarity isn't the same as correctness. A pure vector query doesn't know that a product is out of stock, that a document belongs to a different customer, or that a policy wa...
Source:https://redis.io/blog/metadata-filtering-vector-search-precision/PreviousChoosing & integrating LLM APIs: a practical guideNextVector search in production: index trade-offs, failure modes & what to watch
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