# Create RAG vector database from Google Drive documents: n8n workflow

> Started by an event in a connected app, and works across Google Drive, Postgres and Supabase vectors.

Source: https://millionrounds.com/workflow/create-rag-vector-database-from-google-drive-documents (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)

# Create RAG vector database from Google Drive documents

Started by an event in a connected app, and works across Google Drive, Postgres and Supabase vectors. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 9 steps, 1 loop or waits: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fcreate-rag-vector-database-from-google-drive-documents)

**9 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**1** Loop or waits

**3** Services it connects to

## The flow

Starts it 1 Model 3 Logic 2 Service 3

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

- 1 **Embeddings Google Gemini4** Embeddings Google Gemini *Model*
- 2 **Default Data Loader2** Document Default Data Loader *Model*
- 3 **When Executed by Another Workflow** Execute Workflow trigger *Starts it*
- 4 **Insert into Supabase Vectorstore** Vector Store Supabase *Model*
- 5 **Code in JavaScript** Code *Logic*
- 6 **Loop Over Items** Split In Batches *Logic*
- 7 **Execute a SQL query** Postgres *Service*
- 8 **Download File** Google Drive *Service*
- 9 **Search files and folders** Google Drive *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 9, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, Postgres, Supabase vectors
- **Model:** Gemini
- **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 Google Drive, Postgres and Supabase vectors accounts, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls Gemini. 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. 9 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 9 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%2Fcreate-rag-vector-database-from-google-drive-documents)
- **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.

[Google Drive](https://millionrounds.com/workflows?service=Google+Drive#library)[Postgres](https://millionrounds.com/workflows?service=Postgres#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.

- [**AI-powered workflow documentation & promotion with Gemini** 9 steps · calls a model · Google Drive, LinkedIn](https://millionrounds.com/workflow/ai-powered-workflow-documentation-and-promotion-with-gemini)
- [**Generate hardware PDF catalogs from Google Sheets** 9 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/generate-hardware-pdf-catalogs-from-google-sheets)
- [**Generate weekly document digests from Google Docs with OpenAI** 9 steps · calls a model · Gmail, Google Docs](https://millionrounds.com/workflow/generate-weekly-document-digests-from-google-docs-with-opena)
- [**Index new Google Drive files into Pinecone with OpenAI** 9 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/index-new-google-drive-files-into-pinecone-with-openai)
- [**Process OCR documents from Google Drive into searchable** 9 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/process-ocr-documents-from-google-drive-into-searchable)
- [**Remove personally identifiable information (PII) from CSV files** 9 steps · calls a model · Google Drive](https://millionrounds.com/workflow/remove-personally-identifiable-information-pii-from-csv-file)