# Generate LinkedIn posts with Gemini and MongoDB Atlas: n8n workflow

> Started by someone opening a chat with it, and works across Google Drive and Google Sheets.

Source: https://millionrounds.com/workflow/generate-linkedin-posts-with-gemini-and-mongodb-atlas (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Content](https://millionrounds.com/workflows?category=Content#library)

# Generate LinkedIn posts with Gemini and MongoDB Atlas

Started by someone opening a chat with it, and works across Google Drive and Google Sheets. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 15 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fgenerate-linkedin-posts-with-gemini-and-mongodb-atlas)

**15 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 2 Model 11 Service 2

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

- 1 **Embeddings Google Gemini** Embeddings Google Gemini *Model*
- 2 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 3 **Default Data Loader** Document Default Data Loader *Model*
- 4 **Google Drive Trigger** Google Drive trigger *Starts it*
- 5 **When chat message received** Chat trigger *Starts it*
- 6 **Embeddings Google Gemini1** Embeddings Google Gemini *Model*
- 7 **Simple Memory** Memory Buffer Window *Model*
- 8 **Google Gemini Chat Model1** Lm Chat Google Gemini *Model*
- 9 **Simple Memory1** Memory Buffer Window *Model*
- 10 **Google Sheets Tool** Google Sheets Tool *Service*
- 11 **MongoDB Vector Store Inserter** Vector Store Mongo DBAtlas *Model*
- 12 **Knowledge Base Agent** Agent *Model*
- 13 **Download file** Google Drive *Service*
- 14 **Knowledge Base Agent1** Agent *Model*
- 15 **MongoDB Vector Search** Vector Store Mongo DBAtlas *Model*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 15
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, Google Sheets
- **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 and Google Sheets accounts, and a key for Gemini. 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 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. 15 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 15 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%2Fgenerate-linkedin-posts-with-gemini-and-mongodb-atlas)
- **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)[Google Sheets](https://millionrounds.com/workflows?service=Google+Sheets#library)

## Workflows like it

Also content, with the same services where possible, closest in size first.

- [**AI News & Content Curator with OpenAI and OpenRouter** 15 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/ai-news-and-content-curator-with-openai-and-openrouter)
- [**AI Viral Video Producer: Ideation to Veo3 Generation** 15 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/ai-viral-video-producer-ideation-to-veo3-generation)
- [**AI agent creates content to be picked by ChatGPT, Gemini, Google** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/ai-agent-creates-content-to-be-picked-by-chatgpt-gemini-goog)
- [**AI agent creates content to be picked by ChatGPT, Gemini, Google** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/ai-agent-creates-content-to-be-picked-by-chatgpt-gemini-goog-2)
- [**Automate SEO research & content gap analysis with OpenAI** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/automate-seo-research-and-content-gap-analysis-with-openai)
- [**Automate SEO-Optimized WordPress posts with Google Sheets** 15 steps · calls a model · Google Sheets, WordPress](https://millionrounds.com/workflow/automate-seo-optimized-wordpress-posts-with-google-sheets)