Correct heading level for approximate k-NN (#6239)
Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
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@ -21,7 +21,7 @@ The k-NN plugin builds a native library index of the vectors for each knn-vector
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Because the native library indexes are constructed during indexing, it is not possible to apply a filter on an index and then use this search method. All filters are applied on the results produced by the approximate nearest neighbor search.
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### Recommendations for engines and cluster node sizing
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## Recommendations for engines and cluster node sizing
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Each of the three engines used for approximate k-NN search has its own attributes that make one more sensible to use than the others in a given situation. You can follow the general information below to help determine which engine will best meet your requirements.
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