Store Notion's Pages as Vector Documents into Supabase with OpenAI

Store Notion's Pages as Vector Documents into Supabase This workflow assumes you have a Supabase project with a table that has a vector column. If you don't have it, follow the instructions here: [Supabase Vector Columns Guide](https://supabase.com/docs/guides/ai/vector-columns) Workflow Description This workflow automates the process of storing Notion pages as vector documents in a Supabase database with a vector column. The steps are as follows: 1. Notion Page Added Trigger: - Monitors a spec

Integrations Used (5)

Embeddingsopenai

Textsplittertokensplitter

Notion

Documentdefaultdataloader

Vectorstoresupabase

Workflow Structure (8 nodes)

100%

Notion Trigger

Notion - Page Added Trigger

Notion

Notion - Retrieve Page Content

Filter

Filter Non-Text Content

Summarize

Summarize - Concatenate Notion's blocks content

Langchain.vector Store Supabase

Supabase Vector Store

Langchain.embeddings Open Ai

Embeddings OpenAI

Langchain.document Default Data Loader

Create metadata and load content

Langchain.text Splitter Token Splitter

Token Splitter

Node Types:

default

logic

trigger

action

Requires credentials

Prerequisites

No credentials required!

This workflow can be imported and used immediately.

Complexity

Moderate

Some experience helpful. Multiple integrations or logic.

Setup time: ~15 min

Score: 23/100

4 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

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...