# WhatsApp chat agent with Gemini and Supabase: n8n workflow

> Started by an incoming WhatsApp message, and works across Supabase and WhatsApp. It puts Gemini behind a retrieval step, so answers are drawn from documents...

Source: https://millionrounds.com/workflow/whatsapp-chat-agent-with-gemini-and-supabase (Millionrounds; every figure on the page links to its filing or article)

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

# WhatsApp chat agent with Gemini and Supabase

Started by an incoming WhatsApp message, and works across Supabase and WhatsApp. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 28 steps, 2 branches: large, and worth reading before you trust it with anything live.

Large Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fwhatsapp-chat-agent-with-gemini-and-supabase)

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

**2** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 1 Model 6 Logic 8 Service 13

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

- 1 **WhatsApp Trigger** Whats App trigger *Starts it*
- 2 **Structured Output Parser1** Output Parser Structured *Model*
- 3 **Google Gemini Chat Model3** Lm Chat Google Gemini *Model*
- 4 **Gemini Chat Model** Lm Chat Google Gemini *Model*
- 5 **Postgres Chat Memory** Memory Postgres Chat *Model*
- 6 **Get CVs** Supabase Tool *Service*
- 7 **Get chat_history** Supabase Tool *Service*
- 8 **Switch** Switch *Logic*
- 9 **CV Processor Agent** Agent *Model*
- 10 **Interview Conductor** Agent *Model*
- 11 **Get Audio URL** Whats App *Service*
- 12 **text only prompt** Set *Logic*
- 13 **Edit Fields** Set *Logic*
- 14 **Set Interview Data** Set *Logic*
- 15 **IF Audio** If *Logic*
- 16 **Download Audio** Http Request *Service*
- 17 **Download media** Whats App *Service*
- 18 **Create a row1** Supabase *Service*
- 19 **Code** Code *Logic*
- 20 **Format Response** Set *Logic*
- 21 **Extract from File** Extract From File *Service*
- 22 **Download Audio** Http Request *Service*
- 23 **HTTP Request** Http Request *Service*
- 24 **interview send msg** Whats App *Service*
- 25 **audio to text** Http Request *Service*
- 26 **Extract from File1** Extract From File *Service*
- 27 **interview send msg1** Whats App *Service*
- 28 **Audio to text** Set *Logic*

## How it's built

- **Starts on:** An incoming WhatsApp message
- **Steps:** 28, with 2 branches
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Supabase, WhatsApp
- **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 Supabase and WhatsApp accounts, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an incoming WhatsApp message.

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?

Take your time. At 28 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 28 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%2Fwhatsapp-chat-agent-with-gemini-and-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.

[Supabase](https://millionrounds.com/workflows?service=Supabase#library)[WhatsApp](https://millionrounds.com/workflows?service=WhatsApp#library)

## Workflows like it

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

- [**AI Restaurant Virtual Waiter Chatbot for WhatsApp & Website** 27 steps · calls a model · Google Sheets, WhatsApp](https://millionrounds.com/workflow/ai-restaurant-virtual-waiter-chatbot-for-whatsapp-and-websit)
- [**Basic RAG system with Claude and OpenAI** 29 steps · calls a model · Google Drive, Supabase](https://millionrounds.com/workflow/basic-rag-system-with-claude-and-openai)
- [**Debounce and buffer WhatsApp AI replies with Redis and Gemini** 29 steps · calls a model · Redis, WhatsApp](https://millionrounds.com/workflow/debounce-and-buffer-whatsapp-ai-replies-with-redis-and-gemin)
- [**AI-powered WhatsApp chatbot for text, voice, images & PDFs** 26 steps · calls a model · WhatsApp](https://millionrounds.com/workflow/ai-powered-whatsapp-chatbot-for-text-voice-images-and-pdfs)
- [**Run a multimodal WhatsApp AI assistant with OpenAI** 30 steps · calls a model · WhatsApp](https://millionrounds.com/workflow/run-a-multimodal-whatsapp-ai-assistant-with-openai)
- [**Company knowledge base agent (RAG) with OpenAI** 31 steps · calls a model · Google Drive, Supabase](https://millionrounds.com/workflow/company-knowledge-base-agent-rag-with-openai)