Store Notion's Pages as Vector Documents into Supabase with OpenAI
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Automates storing Notion pages as vector documents in Supabase using OpenAI embeddings.
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About This Workflow
Overview
This workflow automates the process of storing content from Notion pages as vector documents within a Supabase database. It's designed to create a searchable knowledge base from your Notion content, leveraging OpenAI for text embeddings and Supabase for scalable vector storage.
Key Features
- Triggers on new pages added to a specified Notion database.
- Retrieves all block content from Notion pages.
- Filters out non-textual content like images and videos.
- Concatenates and summarizes block content into a single text.
- Generates embeddings for the text content using OpenAI.
- Splits text into manageable chunks for embedding.
- Creates metadata including page ID, creation time, and page title.
- Stores processed documents and their embeddings into a Supabase table with a vector column.
- Includes error handling for robust execution.
How To Use
- Set up Supabase: Ensure you have a Supabase project with a table that includes a vector column. Refer to the Supabase Vector Columns Guide.
- Configure Notion Trigger: Set up the
Notion - Page Added Triggernode to monitor your desired Notion database. - Configure Notion Credentials: Ensure your Notion API credentials are correctly set up in n8n.
- Configure OpenAI Credentials: Ensure your OpenAI API key is correctly set up in n8n.
- Configure Supabase Credentials: Ensure your Supabase project URL and API keys are correctly set up in n8n.
- Specify Supabase Table: In the
Supabase Vector Storenode, specify the target table name for storing the vector documents. - Set Chunk Size/Overlap: Adjust the
Token Splitternode'schunkSizeandchunkOverlapparameters as needed for your embedding strategy. - Activate Workflow: Enable the workflow to start processing new Notion pages.
Apps Used
Workflow JSON
{
"id": "362f3c80-8c32-4db1-94ae-63f4aeeb27a8",
"name": "Store Notion's Pages as Vector Documents into Supabase with OpenAI",
"nodes": 0,
"category": "Data Integration",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 362f3c80-8c32...
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