LibraryAI & Content Generation★ 7.0
Notion to Supabase Vector Storage with OpenAI
Automates storing textual content from new Notion pages as vector documents in Supabase using OpenAI embeddings. Integrates Notion (page trigger, content retrieval), OpenAI (text embeddings), and Supabase (vector column storage) to enable efficient semantic search and organization.
▮▯▯Beginner5 min8 nodes
$9.00
SSL secureInstant access24h refund
Card payment via Dodo
Wise · Bank transfer
Wise emailvirginaiagency@gmail.com
Amount$9.00 USD
Referencevai-lib-notion
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✦ Built with
NotionSupabaseOpenAI
✦ Workflow at a glance
✦ What you get
In thebox.
- workflow.jsonReady-to-import n8n workflow file
- Setup guideStep-by-step deployment instructions
- Node documentationWhat each node does + how to tune it
- Sample dataTest inputs to verify it works end-to-end
- Community supportBest-effort via Telegram / GitHub
- Lifetime updatesNew versions delivered free, forever
✦ Setup
Live inthree steps.
01
Import
Open n8n → Workflows → New from JSON. Drop in the workflow.json you received.
02
Connect
Add credentials for each tool used (OpenAI key, Slack token, etc.). All shown in the setup guide.
03
Test & activate
Run on sample data to verify the flow. Toggle the workflow to active and you're shipping.
✦ Stack · 3 tools
The fullintegration map.
Productivity
1
Notion
Database
1
Supabase
AI
1
OpenAI
✦ Bundle
Often pairedwith this.
✦ Related
More inAI & Content Generation.
✦ Ready when you are
Deploy Notion to Supabase Vector
Free to license through our library tier. Custom builds in 1–3 days.