Whereas a phrase query simply excludes documents that don’t contain the exact
query phrase, a proximity query—a (((“proximity matching”, “proximity queries”)))(((“slop parameter”, “proximity queries and”)))phrase query where is greater
than 0—incorporates the proximity of the query terms into the final
relevance _score. By setting a high slop value like or 100, you can
exclude documents in which the words are really too far apart, but give a higher
score to documents in which the words are closer together.

The following proximity query for quick dog matches both documents that
contain the words quick and , but gives a higher score to the
document(((“relevance scores”, “for proximity queries”))) in which the words are nearer to each other:

// SENSE: 120_Proximity_Matching/20_Scoring.json

<1> Note the high slop value.

<1> Higher score because quick and dog are close together

<2> Lower score because and dog are further apart