Basic Usage

fuzzy_term finds results that approximately match the query term, allowing for minor typos in the input.

value is treated as a token. Use fuzzy_phrase to perform fuzzy search over a phrase containing multiple tokens.

field
required

Specifies the field within the document to search for the term.

value
required

Defines the term you are searching for within the specified field, using fuzzy logic based on Levenshtein distance to find similar terms.

distance
default: 2

The maximum Levenshtein distance (i.e. single character edits) allowed to consider a term in the index as a match for the query term. Maximum value is 2.

transpose_cost_one
default: true

When set to true, transpositions (swapping two adjacent characters) as a single edit in the Levenshtein distance calculation, while false considers it two separate edits (a deletion and an insertion).

prefix
default: false

When set to true, the initial substring (prefix) of the query term is exempted from the fuzzy edit distance calculation, while false includes the entire string in the calculation.