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Correct heading level for approximate k-NN (#6239) 

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
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kolchfa-aws 2024-01-22 15:45:32 -05:00 committed by GitHub
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_search-plugins/knn/approximate-knn.md
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@ -21,7 +21,7 @@ The k-NN plugin builds a native library index of the vectors for each knn-vector
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. 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.
### Recommendations for engines and cluster node sizing ## Recommendations for engines and cluster node sizing
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. 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.