Fix spelling

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Robert Schulze 2024-11-25 12:59:48 +00:00
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@ -35,8 +35,8 @@ where
The query returns the `N` closest points in `vectors` to `reference_vector`.
Exhaustive search computes the distance between `reference_vector` and all vectors in `vectors`. As such, its runtime is linear in the
number of stored vectors. Approximate search relies on special data structures (e.g. graphs, random forrests, etc.) which allow to find the
clostest vectors to a given reference vector quickly (i.e. in sub-linear time). ClickHouse provides such a data structure in the form of
number of stored vectors. Approximate search relies on special data structures (e.g. graphs, random forests, etc.) which allow to find the
closest vectors to a given reference vector quickly (i.e. in sub-linear time). ClickHouse provides such a data structure in the form of
"vector similarity indexes", a type of [skipping index](mergetree.md#table_engine-mergetree-data_skipping-indexes).
# Creating and Using Vector Similarity Indexes