# Upsert huge documents in a vector store with Supabase: n8n workflow

> Started by someone opening a chat with it, and works across Notion, Supabase and Supabase vectors.

Source: https://millionrounds.com/workflow/upsert-huge-documents-in-a-vector-store-with-supabase (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Documents and files](https://millionrounds.com/workflows?category=Documents+and+files#library)

# Upsert huge documents in a vector store with Supabase

Started by someone opening a chat with it, and works across Notion, Supabase and Supabase vectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 19 steps, 1 loop or waits: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fupsert-huge-documents-in-a-vector-store-with-supabase)

**19 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**1** Loop or waits

**3** Services it connects to

## The flow

Starts it 3 Model 8 Logic 4 Service 4

The steps in the order they run, from what starts it.

- 1 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 2 **Token Splitter** Text Splitter Token Splitter *Model*
- 3 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 4 **When chat message received** Chat trigger *Starts it*
- 5 **Schedule Trigger** Schedule trigger *Starts it*
- 6 **Notion Trigger** Notion trigger *Starts it*
- 7 **Supabase Vector Store** Vector Store Supabase *Model*
- 8 **Supabase Vector Store1** Vector Store Supabase *Model*
- 9 **Default Data Loader** Document Default Data Loader *Model*
- 10 **Question and Answer Chain** Chain Retrieval Qa *Model*
- 11 **Get updated pages** Notion *Service*
- 12 **Input Reference** No Op *Logic*
- 13 **Limit1** Limit *Logic*
- 14 **Vector Store Retriever** Retriever Vector Store *Model*
- 15 **Loop Over Items** Split In Batches *Logic*
- 16 **Delete old embeddings if exist** Supabase *Service*
- 17 **Limit** Limit *Logic*
- 18 **Get page blocks** Notion *Service*
- 19 **Concatenate to single string** Summarize *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 19, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Notion, Supabase, Supabase vectors
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Notion, Supabase and Supabase vectors accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 19 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 19 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fupsert-huge-documents-in-a-vector-store-with-supabase)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Notion](https://millionrounds.com/workflows?service=Notion#library)[Supabase](https://millionrounds.com/workflows?service=Supabase#library)[Supabase vectors](https://millionrounds.com/workflows?service=Supabase+vectors#library)

## Workflows like it

Also documents and files, with the same services where possible, closest in size first.

- [**Backup n8n workflows with Notion** 19 steps · Notion](https://millionrounds.com/workflow/backup-n8n-workflows-with-notion)
- [**Keep RAG system updated with Google Drive** 20 steps · calls a model · Google Drive, Supabase](https://millionrounds.com/workflow/keep-rag-system-updated-with-google-drive)
- [**Parse Google Drive documents to RAG-ready Markdown** 20 steps · Google Drive, Supabase](https://millionrounds.com/workflow/parse-google-drive-documents-to-rag-ready-markdown)
- [**Sync Granola call transcripts to customer folders in Google Drive** 18 steps · Google Docs, Google Drive](https://millionrounds.com/workflow/sync-granola-call-transcripts-to-customer-folders-in-google-)
- [**Aggregate & update documentation from Slack, Teams & GitHub** 17 steps · calls a model · GitHub, Gmail](https://millionrounds.com/workflow/aggregate-and-update-documentation-from-slack-teams-and-gith)
- [**Analyze Instagram profiles with Apify and Gemini** 17 steps · calls a model · Apify, Supabase](https://millionrounds.com/workflow/analyze-instagram-profiles-with-apify-and-gemini)