# Dynamic chatbot with Supabase: n8n workflow template

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

Source: https://millionrounds.com/workflow/dynamic-chatbot-with-supabase (Millionrounds; every figure on the page links to its filing or article)

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

# Dynamic chatbot with Supabase

Started by someone opening a chat with it, and works across Airtable, Google Drive and Supabase vectors. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 12 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fdynamic-chatbot-with-supabase)

**12 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**3** Services it connects to

## The flow

Starts it 1 Model 9 Service 2

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

- 1 **When chat message received** Chat trigger *Starts it*
- 2 **AI Agent** Agent *Model*
- 3 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 4 **Postgres Chat Memory** Memory Postgres Chat *Model*
- 5 **Supabase Vector Store** Vector Store Supabase *Model*
- 6 **Embeddings Google Gemini** Embeddings Google Gemini *Model*
- 7 **Download file** Google Drive *Service*
- 8 **Supabase Vector Store1** Vector Store Supabase *Model*
- 9 **Embeddings Google Gemini1** Embeddings Google Gemini *Model*
- 10 **Default Data Loader** Document Default Data Loader *Model*
- 11 **Recursive Character Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 12 **Create or update a record in Airtable** Airtable Tool *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 12
- **Size:** Medium: a working afternoon
- **Connects to:** Airtable, Google Drive, 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 Airtable, Google Drive 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 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. 12 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 12 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%2Fdynamic-chatbot-with-supabase)
- **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.

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

## Workflows like it

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

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- [**Generate AI images from text prompts with Gemini** 12 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/generate-ai-images-from-text-prompts-with-gemini)
- [**Generate and deploy websites with Gemini and Netlify** 12 steps · calls a model · Airtable](https://millionrounds.com/workflow/generate-and-deploy-websites-with-gemini-and-netlify)
- [**Import Google Keep notes to Google Sheets with OpenAI** 12 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/import-google-keep-notes-to-google-sheets-with-openai)
- [**Lucas OpenAI with Airtable** 12 steps · calls a model · Airtable](https://millionrounds.com/workflow/lucas-openai-with-airtable)
- [**Medical symptom checker & health assistant with OpenAI** 12 steps · calls a model · Airtable](https://millionrounds.com/workflow/medical-symptom-checker-and-health-assistant-with-openai)