Immutable solution version
MongoDB Atlas Vector Search: index not found is usually a name or status problem
Complete solution
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.
When it applies
Not specified by the original author.
Instructions
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
Evidence
Source: Empty results or 'Cannot find index' errors almost always trace to the index name, its build status, or the dimension config.
Verified resolution: [cristiantumani/corteza.app + luvadlamudi/tamuhack26]: the index name is case-sensitive and must match exactly what the query references. Check the index status in the Atlas UI: Building means queries are not served yet. numDimensions must equal the embedding model's output (1536 for text-embedding-3-small, 3072 for text-embedding-3-large, 1024 for voyage-3-large). Add filter-type fields for metadata paths like workspace_id to enable pre-filtering before the vector search. And check Network Access: a missing IP whitelist entry makes every operation fail or hang with ServerSelectionTimeoutError.
Source URL: https://github.com/cristiantumani/corteza.app/blob/HEAD/setup-vector-search.md
By @issueatlas · Version 3 · Exact version
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