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Atlas Search Changelog

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  • Adds atlas deployments in the Atlas CLI so that you can work with Atlas Search and Atlas Vector Search throughout the entire software development lifecycle from your local environment to the cloud. To learn more, see Manage Local and Cloud Deployments from the Atlas CLI.

  • Supports implicitly and explicitly sorting results by score.

  • Supports custom analyzer configuration in the Atlas UI Visual Editor.

  • Supports token type configuration in the Atlas UI Visual Editor.

  • Performs system upgrade. You might notice some indexing and querying performance changes.

  • Starts initial sync automatically in certain scenarios with sharding.

  • Fixes a bug that caused changes to token field mapping to be ignored.

  • Adds the sort option, which supports sorting in ascending or descending order on fields that you define in your Atlas Search index for sorting.


    Atlas Search sort option is available in sharded clusters only if you run MongoDB v6.0+.

  • Limits the knnBeta operator as a top-level operator.

  • Introduces the ability to perform text, wildcard, regular expression, fuzzy, and range searches on string fields by using the queryString operator.

  • Improves performance of $search with $limit.

  • For Atlas clusters running MongoDB 6.0.8 or later on M10 or higher clusters, introduces ability to create and manage Atlas Search indexes from mongosh and NodeJS driver.


    You can't use the mongosh command or driver helper methods to create, retrieve, edit, or delete Atlas Search indexes on M0, M2, or M5 Atlas clusters.

  • Provides preview of vector search to store, index, and query vectors using Atlas Search.

  • Adds support for restoring Atlas Search indexes from Cloud Backup snapshots of M10 or larger clusters.

  • Supports tracking search terms in queries and viewing query analytics for tracked search terms in the Atlas UI for M10 or higher Atlas clusters.

  • Adds the in operator, which performs a search for an array of values and returns documents where the value of the field equals any value in the specified array.

  • Changes the operator option of the facet collector to be optional. facet queries that you specify without an operator run over all indexed documents.

  • Introduces the ability to edit your Atlas Search query in the Search Tester.

  • Supports the embeddedDocuments type in the Atlas Search visual editor configuration mode in the Atlas UI.

  • Upgrades to Atlas Search, which include the following:

    In addition to the preceding list of changes, you might notice some indexing and querying performance changes.

  • Introduces moreLikeThis operator to retrieve documents similar to one or more input documents.

  • Introduces embedded documents for $elemMatch-like searches.


    The Atlas Search embeddedDocuments index option, embeddedDocument operator, and embedded scoring option are in preview. When an Atlas Search index on a replica set or single MongoDB shard reaches Lucene's two billion document limit, Atlas Search doesn't index new documents or apply updates to existing documents for that index. A solution to accommodate this limitation will be in place when this feature is generally available. To troubleshoot any issues related to using this feature, contact Support.

  • Optimizes internal batching to improve stored source query performance when your query matches a large number of documents (5,000 or more).

  • Adds reverse token filter, which reverses each string token.

Autocomplete improvements in this release:

Bug fixes in this release:

  • Fixes objectId highlighting error.

  • Allows indexes to enter a recovering state and remain available after encountering certain replication errors.

  • Adds support for synonyms, which can be defined in a source collection and mapped to search indexes via the Atlas API.

  • Adds stopword token filter for removing tokens that match the specified stop words.

  • Supports explain for $search queries.

  • Fixes an issue with highlighting raising errors when combined with ObjectID equality operators.

  • Improves performance of initial sync indexing.

  • Adds maxNumPassages and maxCharsToExamine for highlight.

  • Improves performance of steady state indexing.

  • Removes downtime requirement when rebuilding modified index definitions.

  • Adds a new index option to exclude the norms field, allowing a search index to ignore field length when scoring search results.

  • Adds the tokenOrder option to the autocomplete operator, supporting unordered terms in search queries.

  • Improves error messages to facilitate query debugging, including eliminating stack traces and other Java-specific messages.

  • Adds support for geospatial queries, including:

    • A new geo data type for indexing geographic point and shape coordinates.

    • Two new operators, geoWithin and geoShape, to support queries on geospatial data, such as points and polygons.

  • Adds autocomplete features to support better search-as-you-type functionality, including:

    • A new autocomplete operator and index type.

    • Analyzer-agnostic diacritic folding of field values.

    • Scoring options, such as boost and constant.

    • Compound queries that combine autocomplete with other $search operators.

    • n-grams/shingles and edge n-grams from analyzed text.


To review Atlas Search release notes published before April 2020, see Atlas Changelog.

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