Use Cases
- Automatically store and organize Notion pages as vector documents in a database.
- Utilize OpenAI's embeddings for enhanced text analysis and retrieval.
- Filter and summarize content from Notion for efficient data management.
How It Works
Triggers when a new page is added to a Notion database. Retrieves the content of the newly added Notion page. Filters out non-text content like images and videos. Summarizes the text content for embedding generation. Generates embeddings using OpenAI's technology. Stores the embeddings and metadata in a Supabase database.
Setup Steps
- 1Import the workflow template into your n8n instance.
- 2Configure the Notion trigger with your specific database ID.
- 3Set up the Supabase connection with the appropriate table name.
- 4Adjust any parameters as needed for your use case.
- 5Activate the workflow to start processing new Notion pages.
Apps Used
Notion
OpenAI
Supabase
Categories
Target Roles
Tags
#ai content generation
#document automation
#process automation