IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

« Span within query Distance feature query »

› ›

Specialized queries

edit

Specialized queries

edit

This group contains queries which do not fit into the other groups:

distance_feature query: A query that computes scores based on the dynamically computed distances between the origin and documents' date, date_nanos, and geo_point fields. It is able to efficiently skip non-competitive hits.
more_like_this query: This query finds documents which are similar to the specified text, document, or collection of documents.
percolate query: This query finds queries that are stored as documents that match with the specified document.
knn query: A query that finds the k nearest vectors to a query vector, as measured by a similarity metric.
rank_feature query: A query that computes scores based on the values of numeric features and is able to efficiently skip non-competitive hits.
script query: This query allows a script to act as a filter. Also see the function_score query.
script_score query: A query that allows to modify the score of a sub-query with a script.
wrapper query: A query that accepts other queries as json or yaml string.
pinned query: A query that promotes selected documents over others matching a given query.
rule query: A query that supports applying query-based contextual rules, defined using the Query Rules API, to a given query.

« Span within query Distance feature query »