Applies suggestions

Author: kosabogi

docs/reference/query-languages/query-dsl/query-dsl-knn-query.md

@@ -96,14 +96,17 @@ The filter is a pre-filter, meaning that it is applied **during** the approximat
 `similarity`
 :   (Optional, float) The minimum similarity required for a document to be considered a match. The similarity value calculated relates to the raw [`similarity`](/reference/elasticsearch/mapping-reference/dense-vector.md#dense-vector-similarity) used. Not the document score. The matched documents are then scored according to [`similarity`](/reference/elasticsearch/mapping-reference/dense-vector.md#dense-vector-similarity) and the provided `boost` is applied.
 
+`boost`
+:   (Optional, float) Floating point number used to multiply the scores of matched documents. This value cannot be negative. Defaults to `1.0`.
+
+
+`_name`
+:   (Optional, string) Name field to identify the query
+
 
 `rescore_vector` {applies_to}`stack: preview 9.0, ga 9.1`
 :   (Optional, object) Apply oversampling and rescoring to quantized vectors.
 
-    ::::{note}
-    Rescoring only makes sense for quantized vectors; when [quantization](/reference/elasticsearch/mapping-reference/dense-vector.md#dense-vector-quantization) is not used, the original vectors are used for scoring. Rescore option will be ignored for non-quantized `dense_vector` fields.
-    ::::
-
     **Parameters for `rescore_vector`**:
     
     `oversample`
@@ -117,18 +120,11 @@ The filter is a pre-filter, meaning that it is applied **during** the approximat
        * \>= 1f to indicate the oversample factor
        * Exactly `0` to indicate that no oversampling and rescoring should occur. {applies_to}`stack: ga 9.1`
 
-
     See [oversampling and rescoring quantized vectors](docs-content://solutions/search/vector/knn.md#dense-vector-knn-search-rescoring) for details.
 
-
-`boost`
-:   (Optional, float) Floating point number used to multiply the scores of matched documents. This value cannot be negative. Defaults to `1.0`.
-
-
-`_name`
-:   (Optional, string) Name field to identify the query
-
-
+   ::::{note}
+   Rescoring only makes sense for [quantized](/reference/elasticsearch/mapping-reference/dense-vector.md#dense-vector-quantization) vectors. The `rescore_vector` option will be ignored for non-quantized `dense_vector` fields, because the original vectors are used for scoring.
+   ::::
 
 ## Pre-filters and post-filters in knn query [knn-query-filtering]