# Generating image embeddings with OpenAI and Google Drive: n8n workflow

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

Source: https://millionrounds.com/workflow/generating-image-embeddings-with-openai-and-google-drive (Millionrounds; every figure on the page links to its filing or article)

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

# Generating image embeddings with OpenAI and Google Drive

Started by an event in a connected app, and works across Google Drive and in-memory vectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 13 steps: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fgenerating-image-embeddings-with-openai-and-google-drive)

**13 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 1 Model 7 Logic 2 Service 3

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

- 1 **When clicking "Test workflow"** Manual trigger *Starts it*
- 2 **Recursive Character Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 3 **Embeddings OpenAI1** Embeddings Open Ai *Model*
- 4 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 5 **Google Drive** Google Drive *Service*
- 6 **Default Data Loader** Document Default Data Loader *Model*
- 7 **Search for Image** Vector Store In Memory *Model*
- 8 **In-Memory Vector Store** Vector Store In Memory *Model*
- 9 **Get Color Information** Edit Image *Service*
- 10 **Resize Image** Edit Image *Service*
- 11 **Combine Image Analysis** Merge *Logic*
- 12 **Get Image Keywords** Open Ai *Model*
- 13 **Document for Embedding** Set *Logic*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 13
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, in-memory 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 Google Drive and in-memory vectors accounts, and a key for OpenAI. 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 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. 13 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 13 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%2Fgenerating-image-embeddings-with-openai-and-google-drive)
- **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)[in-memory vectors](https://millionrounds.com/workflows?service=in-memory+vectors#library)

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

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- [**Competitor landing page change detection and strategic analysis** 13 steps · calls a model · Google Drive, Slack](https://millionrounds.com/workflow/competitor-landing-page-change-detection-and-strategic-analy)
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- [**Compare local Ollama Vision models for image analysis** 13 steps · Google Docs, Google Drive](https://millionrounds.com/workflow/compare-local-ollama-vision-models-for-image-analysis)