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Fix spelling
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@ -35,8 +35,8 @@ where
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The query returns the `N` closest points in `vectors` to `reference_vector`.
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Exhaustive search computes the distance between `reference_vector` and all vectors in `vectors`. As such, its runtime is linear in the
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number of stored vectors. Approximate search relies on special data structures (e.g. graphs, random forrests, etc.) which allow to find the
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clostest vectors to a given reference vector quickly (i.e. in sub-linear time). ClickHouse provides such a data structure in the form of
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number of stored vectors. Approximate search relies on special data structures (e.g. graphs, random forests, etc.) which allow to find the
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closest vectors to a given reference vector quickly (i.e. in sub-linear time). ClickHouse provides such a data structure in the form of
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"vector similarity indexes", a type of [skipping index](mergetree.md#table_engine-mergetree-data_skipping-indexes).
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# Creating and Using Vector Similarity Indexes
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