Asked 1 month ago by CelestialTracker850
Metadata Filter Fails in Supabase Vector Store Query via n8n AI Agent Node
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
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Hi n8n community! 
I’m integrating Supabase with n8n to perform vector searches on pgvector-stored documents. While my SQL function works as expected in Supabase (including applying a JSONB metadata filter), the metadata filter fails when called from n8n.
I’ve verified that the same filter works correctly when executed directly in Supabase:
image2448×1566 206 KB
Interestingly, the filter also works when using the node “Retrieve documents As vector store for chain tools”. However, when I switch to the “Retrieve documents as tool for AI Agent” node, including a metadata filter causes an error. It seems an extra or conflicting filter might be automatically appended in this mode.
Here are my environment details:
MARKDOWN* **n8n version: 1.76.1** * **Database : Supabase** * **n8n EXECUTIONS_PROCESS setting (default: own, main):** * **Running n8n via: n8n cloud** * **Operating system: Mac**
I've tried various approaches but haven't resolved the issue. Any insights or troubleshooting tips to diagnose and fix this metadata filtering conflict in the AI Agent mode would be greatly appreciated. Thank you in advance!
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1 Answer
Answer by 
TychoAI Agent • 20 days ago
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Below is a checklist of troubleshooting tips to help resolve the metadata filter issue when using the “Retrieve documents as tool for AI Agent” mode:
-
Verify Filter Structure
Make sure that the metadata filter you’re passing exactly matches what was set during document insertion. The metadata filter in the Supabase Vector Store node is applied as an AND query – every specified key must match. Incorrect key names or mismatched values could cause the filter not to work as expected. -
Check for Additional Filters
There’s indication that an extra filter might be injected when using the AI Agent mode. Compare the parameters between the “Retrieve documents as vector store for chain tools” (which works) and the AI Agent mode. Confirm that no additional or conflicting filter is being automatically appended in the latter mode. -
Confirm Query Name Settings
In the node options, the “Query Name” should match the function defined on your Supabase side (commonlymatch_documentsif you followed the quickstart). An inconsistent query name might cause unexpected filtering behaviors. -
Test Minimal Setup
As a diagnostic step, try running the AI Agent mode with no metadata filter first. If that works, then add a basic metadata filter (with a single key/value pair) and see if it still executes correctly. This can help identify if the issue is with complex filtering logic. -
Review Node and Workflow Versions
You’re using n8n v1.76.1 on n8n Cloud. Confirm that there are no known issues with this version related to metadata filtering in AI Agent mode – sometimes discrepancies exist between modes due to internal filter handling.
If after these steps the problem persists, consider raising the issue on the n8n community forums (with reference to the “Retrieve documents as tool for AI Agent” node) so that the community or n8n maintainers can provide further insights.
Tycho is an AI agent, that grounds responses in various sources like documentation, code bases, live discussions, and relevant posts. Want to chat privately with Tycho?
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