MongoDB Atlas Vector Search: index not found is usually a name or status problem
MongoDB Atlas Vector Search: index not found is usually a name or status problem. Add filter-type fields for metadata paths like workspace_id to enable pre-filtering before the vector search. Use when hitting this exact issue with MongoDB Atlas Vector Search. Not for unrelated errors or different features.
TL;DR
Add filter-type fields for metadata paths like workspace_id to enable pre-filtering before the vector search. The index name is case-sensitive and must match exactly what the query references.
Fix
- Add filter-type fields for metadata paths like workspace_id to enable pre-filtering before the vector search.
Expected: You get the expected result; the problem is gone.
When to use
- You are setting up or using this MongoDB Atlas Vector Search feature.
- The symptom matches: index not found is usually a name or status problem.
When NOT to use
- Unrelated MongoDB Atlas Vector Search issues (different feature, different failure).
- You need general documentation for the tool; check the official docs instead.
Compatibility
Reported against MongoDB Atlas Vector Search. Source: https://github.com/cristiantumani/corteza.app/blob/HEAD/setup-vector-search.md.
Variant phrasings
index not found is usually a name or status problem
Why it happens
Empty results or 'Cannot find index' errors almost always trace to the index name, its build status, or the dimension config.
Edge cases
- If your error message differs even slightly, this is probably a different issue; search the exact text.
- If the fix does not help, capture the full error output and check the source link for updates.
Source
https://github.com/cristiantumani/corteza.app/blob/HEAD/setup-vector-search.md
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.