Mark rescore_vector as ga (#4194)

Author: benwtrent

output/schema/schema-serverless.json

@@ -54,9 +54,9 @@ export interface KnnSearch {
    * @doc_id knn-inner-hits
    */
   inner_hits?: InnerHits
-  /** Apply oversampling and rescoring to quantized vectors *
-   * @availability stack since=8.18.0 stability=experimental
-   * @availability serverless stability=experimental
+  /** Apply oversampling and rescoring to quantized vectors
+   * @availability stack since=8.18.0
+   * @availability serverless
    */
   rescore_vector?: RescoreVector
 }
@@ -79,9 +79,9 @@ export interface KnnQuery extends QueryBase {
   filter?: QueryContainer | QueryContainer[]
   /** The minimum similarity for a vector to be considered a match */
   similarity?: float
-  /** Apply oversampling and rescoring to quantized vectors *
-   * @availability stack since=8.18.0 stability=experimental
-   * @availability serverless stability=experimental
+  /** Apply oversampling and rescoring to quantized vectors
+   * @availability stack since=8.18.0
+   * @availability serverless
    */
   rescore_vector?: RescoreVector
 }

output/schema/schema.json

@@ -74,9 +74,9 @@ export class KnnRetriever extends RetrieverBase {
   num_candidates: integer
   /** The minimum similarity required for a document to be considered a match.  */
   similarity?: float
-  /** Apply oversampling and rescoring to quantized vectors *
-   * @availability stack since=8.18.0 stability=experimental
-   * @availability serverless stability=experimental
+  /** Apply oversampling and rescoring to quantized vectors
+   * @availability stack since=8.18.0
+   * @availability serverless
    */
   rescore_vector?: RescoreVector
 }