Use Cases
- Automatically store and manage Notion content in a database.
- Generate embeddings for text content to enhance search capabilities.
- Facilitate data analysis by storing structured information from Notion.
How It Works
Triggers when a new page is added in Notion. Retrieves all block content from the new Notion page. Filters out non-text content like images and videos. Concatenates the text content for embedding generation. Generates embeddings using OpenAI's technology. Stores the embeddings and metadata in Supabase.
Setup Steps
- 1Import the workflow template into n8n.
- 2Configure the Notion database ID in the trigger node.
- 3Set up the Supabase table name for storing vector documents.
- 4Connect your OpenAI credentials for embedding generation.
- 5Activate the workflow to start processing new Notion pages.
Apps Used
Notion
Supabase
OpenAI
Categories
Target Roles
Tags
#ai content generation
#process automation
#workflow management