# Build a product catalog chatbot with Mistral and Google Drive: n8n workflow

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

Source: https://millionrounds.com/workflow/build-a-product-catalog-chatbot-with-mistral-and-google-driv (Millionrounds; every figure on the page links to its filing or article)

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

# Build a product catalog chatbot with Mistral and Google Drive

Started by someone opening a chat with it, and works across Google Drive and Supabase vectors. It puts Mistral behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 23 steps, 3 loops or waits: large, and worth reading before you trust it with anything live.

Large Calls a model: Mistral Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fbuild-a-product-catalog-chatbot-with-mistral-and-google-driv)

**23 steps** Large: read it before trusting it with anything live

**0** Branches: places the flow splits

**3** Loops or waits

**2** Services it connects to

## The flow

Starts it 3 Model 9 Logic 8 Service 3

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

- 1 **Character Text Splitter1** Text Splitter Character Text Splitter *Model*
- 2 **Embeddings Mistral Cloud2** Embeddings Mistral Cloud *Model*
- 3 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 4 **Mistral Cloud Chat Model4** Lm Chat Mistral Cloud *Model*
- 5 **Embeddings Mistral Cloud** Embeddings Mistral Cloud *Model*
- 6 **Simple Memory1** Memory Buffer Window *Model*
- 7 **Webhook1** Webhook *Starts it*
- 8 **When chat message received** Chat trigger *Starts it*
- 9 **Default Data Loader1** Document Default Data Loader *Model*
- 10 **Insert into Supabase Vectorstore** Vector Store Supabase *Model*
- 11 **Google Drive1** Google Drive *Service*
- 12 **product catalog agent** Agent *Model*
- 13 **Supabase Vector Store** Vector Store Supabase *Model*
- 14 **Edit Fields1** Set *Logic*
- 15 **Wait4** Wait *Logic*
- 16 **Loop Over Items** Split In Batches *Logic*
- 17 **extract metadata** Code *Logic*
- 18 **Set File ID** Set *Logic*
- 19 **Google Drive get file** Google Drive *Service*
- 20 **Extract from File** Extract From File *Service*
- 21 **Wait1** Wait *Logic*
- 22 **map data into fields** Set *Logic*
- 23 **convert data into chunks** Code *Logic*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 23, 3 loops or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Google Drive, Supabase vectors
- **Model:** Mistral
- **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 Supabase vectors accounts, and a key for Mistral. 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 Mistral. 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?

Take your time. At 23 steps it is large: read it before trusting it with anything live.

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 23 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%2Fbuild-a-product-catalog-chatbot-with-mistral-and-google-driv)
- **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)[Supabase vectors](https://millionrounds.com/workflows?service=Supabase+vectors#library)

## Workflows like it

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

- [**Build a multi-agent system with Qdrant and Gmail** 23 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/build-a-multi-agent-system-with-qdrant-and-gmail)
- [**Generate professional product images | AI marketing campaign** 23 steps · calls a model · Google Drive](https://millionrounds.com/workflow/generate-professional-product-images-ai-marketing-campaign)
- [**MCP Supabase server for AI agent with RAG** 23 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/mcp-supabase-server-for-ai-agent-with-rag)
- [**Website chatbot with Google Drive and OpenAI** 23 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/website-chatbot-with-google-drive-and-openai)
- [**Build a RAG system with Qdrant and Gemini** 24 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/build-a-rag-system-with-qdrant-and-gemini)
- [**Build a cost engineering RAG with Google Drive and OpenAI** 22 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/build-a-cost-engineering-rag-with-google-drive-and-openai)