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Fuzzy search is also supported by A user-defined value can be adjusted globally via the full-{{Option|LSERROR}} option or, since {{Version|9.6}}, via an additional argument: <syntaxhighlight lang="xquery">//a[text() contains text index.'house' using fuzzy 3 errors]</syntaxhighlight>
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Fuzzy search is based on the Levenshtein distance. The maximum number of allowed errors is calculated by dividing the token length of a specified query term by 4, preserving a minimum of 1 errors. A static error distance can be set by adjusting the {{Option|LSERROR}} option (default: <code>SET LSERROR 0</code>). The query above yields two results as there is no error between the query term “house” and the text node “house”, and one error between “house” and “hous”.
=Mixed Content=
=Changelog=
; Version 9.6
* Updated: [[#Fuzzy_Querying|Fuzzy Querying]]: Specify Levenshtein error
; Version 9.5:
* Removed: Scoring propagation.
; Version 9.2:
* Added: Arabic stemmer.
; Version 8.0:
* Updated: [[#Scoring|Scores]] will be propagated by the {{Code|and}} and {{Code|or}} expressions and in predicates.
; Version 7.7:
* Added: [[#Collations|Collations]] support.
; Version 7.3:
* Removed: Trie index, which was specialized on wildcard queries. The fuzzy index now supports both wildcard and fuzzy queries.
* Removed: TF/IDF scoring was discarded in favor of the internal scoring model.
