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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@ -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.
### 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.