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Specialized queries

OpenSearch supports the following specialized queries:

distance_feature: Calculates document scores based on the dynamically calculated distance between the origin and a document's date, date_nanos, or geo_point fields. This query can skip non-competitive hits.
more_like_this: Finds documents similar to the provided text, document, or collection of documents.
neural: Used for vector field search in neural search.
neural_sparse: Used for vector field search in sparse neural search.
percolate: Finds queries (stored as documents) that match the provided document.
rank_feature: Calculates scores based on the values of numeric features. This query can skip non-competitive hits.
script: Uses a script as a filter.
script_score: Calculates a custom score for matching documents using a script.
wrapper: Accepts other queries as JSON or YAML strings.