Automate Storing Notion Pages as Vectors in Supabase with OpenAI

This workflow is designed to streamline the process of converting Notion pages into vectorized documents for storage in a Supabase database. By leveraging OpenAI's API, it generates embeddings for textual content, facilitating advanced data handling and retrieval. The workflow includes steps to monitor Notion databases, filter out non-text content, summarize and concatenate text, and finally store the processed data in a vector column within Supabase. This automation is ideal for users looking to enhance their data processing pipelines with vector storage capabilities.