Atlas: build a full-text Atlas Search index and query it

TL;DR: Atlas Search is separate from Vector Search. Create a search index with the right analyzers, then query with $search. Wrong analyzer = missed results. - Index builds are async; poll until READY before querying. - $search must be the first stage, like $vectorSearch. Verify A query for a known term returns the known document at the top with a searchScore, and an explain on the query shows the search index in use.

The fix

Atlas Search index

Create the index

Atlas UI: Search tab, Create Search Index, JSON editor. Or via driver/CLI:

db.products.createSearchIndex("default", {
  mappings: { dynamic: true }
});

dynamic: true indexes everything with default analyzers: fine for starting, wasteful at scale. For production, define explicit mappings:

db.products.createSearchIndex("product_idx", {
  mappings: {
    dynamic: false,
    fields: {
      name: { type: "string", analyzer: "lucene.standard" },
      description: { type: "string", analyzer: "lucene.english" },
      price: { type: "number" }
    }
  }
});

Query

db.products.aggregate([
  { $search: {
      index: "product_idx",
      text: { query: "wireless headphones", path: ["name", "description"] }
  } },
  { $limit: 10 },
  { $project: { name: 1, score: { $meta: "searchScore" } } }
]);

Rules

• The index type here is search, not vectorSearch. They are different indexes for different query operators ($search vs $vectorSearch).
• Pick analyzers per field language: the english analyzer stems ("running" matches "run"); standard does not. Wrong analyzer = missed results.
• Index builds are async; poll until READY before querying.
• $search must be the first stage, like $vectorSearch.

Verify

A query for a known term returns the known document at the top with a searchScore, and an explain on the query shows the search index in use.

When to use this

• This covers exactly what the title says: Atlas.
• You are setting this up for the first time, or auditing an existing setup.
• You want the key gotchas in one place before you start.

When not to use this

• You are doing a different workflow with Atlas; these steps are specific to the title above.
• You need the full reference docs; this is the short path, not the manual.

Compatibility

• Not pinned to a specific version; follows current Atlas behavior.

Atlas Search index creation (mappings, analyzers, dynamic vs explicit) and $search query shape per https://www.mongodb.com/docs/search/indexes/manage-indexes/, verified 2026-09-26.