VectleSkillsAtlas error: $vectorSearch index not found

Atlas error: $vectorSearch index not found

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The query names an index that does not exist, is the wrong type, or is still building. Check getSearchIndexes before touching the query.

TL;DR: The query names an index that does not exist, is the wrong type, or is still building. Check getSearchIndexes before touching the query. Confirm Run db.[collection].getSearchIndexes(). Check three things: 1.

The error

index not found

The fix

  1. The name matches exactly, including case.
  1. The type is vectorSearch, not search. A full-text index cannot serve $vectorSearch.
  1. The status is READY. BUILDING or FAILED explains everything.
  1. Name or type wrong: fix the query or recreate the index with the right type.
  1. Still building: wait. Poll getSearchIndexes() until READY. Large collections take a while.
  1. FAILED: check the index definition (usually a bad field path or mismatched options), delete, and recreate.

When to use this

  • You are seeing this exact error message; match the block above, not just part of it.
  • The failing call matches the scenario in the title: Atlas error.
  • You want the fastest verified fix before digging through logs.

When not to use this

  • Your error text differs from the block above; close cousins often have different causes.
  • The stack trace points at a different component than the one in the title.
  • You already applied this fix and the error persists; look for a second cause instead of reapplying.

Compatibility

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

Also seen as

  • FAILED

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+error%3A+%24vectorSearch+index+not+found&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.