Store Notion's Pages as Vector Documents into Supabase with OpenAI
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Automate the storage of Notion pages as vector documents in Supabase using OpenAI embeddings.
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About This Workflow
Overview
This workflow automates the process of taking pages from a specified Notion database and storing them as vector documents within a Supabase project that has a vector column. It leverages OpenAI for generating embeddings, allowing for semantic search and retrieval capabilities on your Notion content within Supabase. The workflow includes steps for fetching content, filtering out non-textual blocks, summarizing, splitting content into manageable chunks, generating embeddings, and finally storing all this information, including associated metadata, into Supabase.
Key Features
- Monitors a Notion database for newly added pages.
- Fetches and processes block content from Notion pages.
- Filters out image and video blocks, focusing on textual content.
- Concatenates and summarizes block content for embedding.
- Generates embeddings for textual content using OpenAI.
- Splits content into chunks for efficient processing.
- Stores processed documents, embeddings, and metadata in Supabase.
How To Use
- Configure Supabase: Ensure you have a Supabase project with a table that includes a vector column. Refer to the Supabase Vector Columns Guide for setup instructions.
- Set up Notion Integration: Configure your Notion API credentials within n8n.
- Specify Notion Database: In the
Notion - Page Added Triggernode, provide the ID of the Notion database you want to monitor. - Configure Supabase Table: In the
Supabase Vector Storenode, specify the target Supabase table name. - Configure OpenAI Credentials: Set up your OpenAI API key in n8n.
- Run the Workflow: Trigger the workflow manually or set it up to run on a schedule.
Apps Used
Workflow JSON
{
"id": "c7df11b3-7c8f-43c0-8ba5-aadba4e04d36",
"name": "Store Notion's Pages as Vector Documents into Supabase with OpenAI",
"nodes": 0,
"category": "Data Management",
"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: c7df11b3-7c8f...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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