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Auto-generated code for 8.9 #2023

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Sep 28, 2023
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Auto-generated code for 8.9 #2023

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4 changes: 2 additions & 2 deletions docs/reference.asciidoc
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Original file line number Diff line number Diff line change
Expand Up @@ -824,7 +824,7 @@ Defaults to 10,000 hits.
** *`indices_boost` (Optional, Record<string, number>[])*: Boosts the _score of documents from specified indices.
** *`docvalue_fields` (Optional, { field, format, include_unmapped }[])*: Array of wildcard (*) patterns. The request returns doc values for field
names matching these patterns in the hits.fields property of the response.
** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter }[])*: Defines the approximate kNN search to run.
** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity }[])*: Defines the approximate kNN search to run.
** *`rank` (Optional, { rrf })*: Defines the Reciprocal Rank Fusion (RRF) to use
** *`min_score` (Optional, number)*: Minimum _score for matching documents. Documents with a lower _score are
not included in the search results.
Expand Down Expand Up @@ -1260,7 +1260,7 @@ Defaults to 10,000 hits.
** *`indices_boost` (Optional, Record<string, number>[])*: Boosts the _score of documents from specified indices.
** *`docvalue_fields` (Optional, { field, format, include_unmapped }[])*: Array of wildcard (*) patterns. The request returns doc values for field
names matching these patterns in the hits.fields property of the response.
** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter }[])*: Defines the approximate kNN search to run.
** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity }[])*: Defines the approximate kNN search to run.
** *`min_score` (Optional, number)*: Minimum _score for matching documents. Documents with a lower _score are
not included in the search results.
** *`post_filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type })*
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1 change: 1 addition & 0 deletions src/api/types.ts
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Expand Up @@ -2239,6 +2239,7 @@ export interface KnnQuery {
num_candidates: long
boost?: float
filter?: QueryDslQueryContainer | QueryDslQueryContainer[]
similarity?: float
}

export interface LatLonGeoLocation {
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1 change: 1 addition & 0 deletions src/api/typesWithBodyKey.ts
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Expand Up @@ -2312,6 +2312,7 @@ export interface KnnQuery {
num_candidates: long
boost?: float
filter?: QueryDslQueryContainer | QueryDslQueryContainer[]
similarity?: float
}

export interface LatLonGeoLocation {
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