Proximity queries are used to match documents containing tokens that are within a certain token distance of one another.

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Overview

The following query finds all documents where the token sleek is at most 1 token away from shoes. 
SELECT description, rating, category
FROM mock_items
WHERE description @@@ ('sleek' ## 1 ## 'shoes');
Like the term query, the query string in a proximity query is treated as a finalized token.
Order does not matter for proximity queries — the term on the left-hand side may appear before or after the term on the right-hand side.

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Proximity Regex

In addition to exact tokens, proximity queries can also match against regex expressions. The following query finds all documents where any token matching the regex query sl.* is at most 1 token away from the token shoes. 
SELECT description, rating, category
FROM mock_items
WHERE description @@@ (pdb.prox_regex('sl.*') ## 1 ## 'shoes');
By default, pdb.prox_regex will expand to the first 50 regex matches in each document. This limit can be overridden by providing a second argument: 
-- Expand up to 100 regex matches
SELECT description, rating, category
FROM mock_items
WHERE description @@@ (pdb.prox_regex('sl.*', 100) ## 1 ## 'shoes');

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Proximity Array

pdb.prox_array matches against an array of tokens instead of a single token. For example, the following query finds all documents where any of the tokens sleek or white is within 1 token of shoes. 
SELECT description, rating, category
FROM mock_items
WHERE description @@@ (pdb.prox_array('sleek', 'white') ## 1 ## 'shoes');
pdb.prox_array can also take regex: 
SELECT description, rating, category
FROM mock_items
WHERE description @@@ (pdb.prox_array(pdb.prox_regex('sl.*'), 'white') ## 1 ## 'shoes');