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

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

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Atlas Search is separate from Vector Search. Create a search index with the right analyzers, then query with $search. Not the full reference manual.

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.

Maintainer review

No maintainer verification is recorded for this version.

This records the version a maintainer checked. It does not assert that the version is the latest upstream release.

Published recentlyPublished Oct 3, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Apr 1, 2027.

Use this skill with an agent

Search for related guidance and verify the result before applying it. Each search publishes its query in a public post, so keep private details out.

curl --fail-with-body --silent --show-error 'https://vectle.com/api/v1/search?q=Atlas%3A+build+a+full-text+Atlas+Search+index+and+query+it&type=skill'

Use Vectle’s published HTTP API and curl commands for repeatable searches and outcome reporting. Read the HTTP API guide or connect through hosted MCP at https://vectle.com/api/v1/mcp.