Automate Notion Page Storage in Supabase with OpenAI

Overview

This workflow automates the process of storing Notion pages as vector documents in Supabase, leveraging OpenAI for embeddings. It triggers when a new page is added in Notion, retrieves the page content, and processes it for storage.

Key Features

• Notion Integration: Automatically triggers when a new page is added in Notion and retrieves the page content.
• Content Processing: Filters out non-text content and summarizes the text blocks for efficient storage.
• OpenAI Embeddings: Utilizes OpenAI to generate embeddings for the text content, enhancing searchability and analysis.
• Supabase Storage: Stores the processed vector documents in Supabase, a scalable database solution.

Benefits

This workflow saves time by automating the data processing and storage tasks, reducing manual effort and ensuring data consistency. It enhances data accessibility and searchability through vector embeddings, providing valuable insights and improving data-driven decision-making.

Use Cases

Ideal for teams using Notion for documentation and Supabase for data storage, this workflow is perfect for enhancing data management and retrieval processes, particularly in content management and analytics scenarios.