SearchFunction uses FunctionCallTrait

ArangoSearch-specific AQL functions: context (analyzer/boost), filtering, scoring and search highlighting. These functions are meant to be used inside a `SEARCH` operation against a View (or a `FILTER` backed by an inverted index).

Tags

see

https://docs.arangodb.com/stable/aql/functions/arangosearch/

Table of Contents

Constants

ANALYZER  : string = 'ANALYZER'

Set the Analyzer for the wrapped search expression (and its nested functions).

BM25  : string = 'BM25'

Score documents with the Best Matching 25 algorithm (Okapi BM25).

BOOST  : string = 'BOOST'

Override the boost value of the wrapped search expression for scorer functions.

EXISTS  : string = 'EXISTS'

Match documents where an attribute is present (optionally of a given type, indexed by a given Analyzer, or indexed as a nested field).

LEVENSHTEIN_MATCH  : string = 'LEVENSHTEIN_MATCH'

Match documents within a (Damerau-)Levenshtein distance of a target string.

MINHASH_MATCH  : string = 'MINHASH_MATCH'

Match documents with an approximate Jaccard similarity (MinHash Analyzer).

NGRAM_MATCH  : string = 'NGRAM_MATCH'

Match documents whose attribute has an n-gram similarity above a threshold.

OFFSET_INFO  : string = 'OFFSET_INFO'

Return match offsets for search highlighting (requires the `offset` Analyzer feature).

PHRASE  : string = 'PHRASE'

Match documents containing a phrase (tokens in the given order, with optional wildcards).

TFIDF  : string = 'TFIDF'

Score documents with the term frequency–inverse document frequency algorithm (TF-IDF).