Atlas Search¶

MongoDB’s Atlas Search feature offers fine-grained text indexing to enable advanced search functionality without any additional management required. Atlas Search provides options for several kinds of text analyzers, score-based results ranking, and a rich query language.

Note

Atlas Search is available on all cluster tiers running MongoDB version 4.2 or later. Non-Atlas MongoDB deployments can use text indexing.

Getting Started¶

To get started creating and querying an Atlas Search index, see the Atlas Search Tutorial.

Find out more about:

Analyzers: Analyzers control the way your Atlas Search index is constructed. You can select an analyzer to customize your index to make the best use of a particular language’s vocabulary and grammar, or to create an index which is language-neutral.
Index Definition Format: You can customize your index definition to take advantage of static and dynamic field mappings.
Index Management: Learn how to create, edit, and delete Atlas Search indexes.
The $search Aggregation Pipeline Stage: Construct Atlas Search queries with the $search aggregation pipeline stage. Find reference pages for the $search operators with examples here.
Performance Considerations: Information about how Atlas Search affects database performance and how to monitor resource usage.
Scoring: Information about how Atlas Search ranks query results.
Highlighting: Information about how to return highlighted search results.
Atlas Search Free and Shared Tier Limitations: Information about the Atlas Search limitations on M0, M2, and M5 shared tier clusters.

← External Dependencies Tutorial: Create and Query an Atlas Search Index →