Fixes indentation

Author: kosabogi

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

@@ -100,25 +100,25 @@ The filter is a pre-filter, meaning that it is applied **during** the approximat
 `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.
-::::
-
+    ::::{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.
+    ::::
 
-`oversample`
-:   (Required, float)
+    Parameter for `rescore_vector`:
+    
+    `oversample`
+    :   (Required, float)
 
-    Applies the specified oversample factor to `k` on the approximate kNN search. The approximate kNN search will:
+        Applies the specified oversample factor to `k` on the approximate kNN search. The approximate kNN search will:
 
-    * Retrieve `num_candidates` candidates per shard.
-    * From these candidates, the top `k * oversample` candidates per shard will be rescored using the original vectors.
-    * The top `k` rescored candidates will be returned.
-    Must be one of the following values: 
-      * \>= 1f to indicate the oversample factor
-      * Exactly `0` to indicate that no oversampling and rescoring should occur. {applies_to}`stack: ga 9.1`
+     * Retrieve `num_candidates` candidates per shard.
+     * From these candidates, the top `k * oversample` candidates per shard will be rescored using the original vectors.
+     * The top `k` rescored candidates will be returned. Must be one of the following values: 
+       * \>= 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.
+    See [oversampling and rescoring quantized vectors](docs-content://solutions/search/vector/knn.md#dense-vector-knn-search-rescoring) for details.
 
 
 `boost`