# Generate AI-powered markdown posts from workflow JSON: n8n workflow

> Started by someone submitting a form, and works across Google Drive and in-memory vectors.

Source: https://millionrounds.com/workflow/generate-ai-powered-markdown-posts-from-workflow-json (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 AI-powered markdown posts from workflow JSON

Started by someone submitting a form, and works across Google Drive and in-memory vectors. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 16 steps, 1 branch, 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%2Fgenerate-ai-powered-markdown-posts-from-workflow-json)

**16 steps** Medium: a working afternoon

**1** Branch: places the flow splits

**1** Loop or waits

**2** Services it connects to

## The flow

Starts it 2 Model 7 Logic 2 Service 5

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

- 1 **On form submission** Form trigger *Starts it*
- 2 **Knowledge Base Updated Trigger** Google Drive trigger *Starts it*
- 3 **Reranker Cohere** Reranker Cohere *Model*
- 4 **Embedd 004** Embeddings Google Gemini *Model*
- 5 **GEmini 2.5 pro** Lm Chat Google Gemini *Model*
- 6 **Data Loader** Document Default Data Loader *Model*
- 7 **Extract from File** Extract From File *Service*
- 8 **Download Knowledge Document** Google Drive *Service*
- 9 **n8n kb** Vector Store In Memory *Model*
- 10 **N8N KB** Vector Store In Memory *Model*
- 11 **n8ncreator** Agent *Model*
- 12 **Parse Document via LlamaIndex** Http Request *Service*
- 13 **Monitor Document Processing** Http Request *Service*
- 14 **Check Parsing Completion** If *Logic*
- 15 **Retrieve Parsed Content** Http Request *Service*
- 16 **Wait Before Status Recheck** Wait *Logic*

## How it's built

- **Starts on:** Someone submitting a form
- **Steps:** 16, with 1 branch, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, in-memory 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 and in-memory vectors accounts, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone submitting a form.

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. 16 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 16 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-ai-powered-markdown-posts-from-workflow-json)
- **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 content, with the same services where possible, closest in size first.

- [**AI-powered product video generator with Foreplay and Gemini** 16 steps · calls a model · Google Drive](https://millionrounds.com/workflow/ai-powered-product-video-generator-with-foreplay-and-gemini)
- [**Automate video creation with Gemini and Vertex AI** 16 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/automate-video-creation-with-gemini-and-vertex-ai)
- [**Blog creation automate workflow with OpenAI and Google Docs** 16 steps · calls a model · Google Docs, Google Drive](https://millionrounds.com/workflow/blog-creation-automate-workflow-with-openai-and-google-docs)
- [**Create Veo3 advert videos from images with Gemini and OpenAI** 16 steps · calls a model · Google Drive](https://millionrounds.com/workflow/create-veo3-advert-videos-from-images-with-gemini-and-openai)
- [**Create YouTube SEO metadata and thumbnails** 16 steps · calls a model · Google Drive](https://millionrounds.com/workflow/create-youtube-seo-metadata-and-thumbnails)
- [**Create low-cost AI videos with Veo3 and TikTok** 16 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/create-low-cost-ai-videos-with-veo3-and-tiktok)