Text Search Operators (Self-Managed Deployments)

Query Framework

Use the $text query operator to perform text searches on a collection with a text index.

$text tokenizes the search string using whitespace and most punctuation as delimiters, and perform a logical OR of all such tokens in the search string.

For example, you could use the following query to find all stores containing any terms from the list "coffee", "shop", and "java" in the stores collection:

db.stores.find( { $text: { $search: "java coffee shop" } } )

Use the $meta query operator to obtain and sort by the relevance score of each matching document. For example, to order a list of coffee shops in order of relevance, run the following:

db.stores.find(
   { $text: { $search: "coffee shop cake" } },
   { score: { $meta: "textScore" } }
).sort( { score: { $meta: "textScore" } } )

For more information on the $text and $meta operators, including restrictions and behavior, see:

• $text Reference Page

• $text Query Examples

• $meta projection operator

Aggregation Pipeline

When working with aggregation pipelines, use $match with a $text expression to execute a text search query. To sort the results in order of relevance score, use the $meta aggregation operator in the $sort stage [1].

For more information and examples of $text in Aggregation Operations pipelines, see $text in the Aggregation Pipeline on Self-Managed Deployments.

For data hosted on MongoDB Atlas, Atlas Search provides the $search aggregation stage to perform full-text search on your collections.