# Build a Placetel RAG voice assistant with Google Drive: n8n workflow

> Started by another system calling it, and works across Google Drive and Supabase vectors. It puts Groq and OpenAI behind a retrieval step, so answers are...

Source: https://millionrounds.com/workflow/build-a-placetel-rag-voice-assistant-with-google-drive (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 Placetel RAG voice assistant with Google Drive

Started by another system calling it, and works across Google Drive and Supabase vectors. It puts Groq and OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 16 steps, 1 loop or waits: a working afternoon to understand properly.

Medium Calls a model: Groq, OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fbuild-a-placetel-rag-voice-assistant-with-google-drive)

**16 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**1** Loop or waits

**2** Services it connects to

## The flow

Starts it 4 Model 8 Logic 2 Service 2

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

- 1 **Täglich 02:00 Uhr – Auto-Reindex** Schedule trigger *Starts it*
- 2 **Manueller Start – Reindex** Manual trigger *Starts it*
- 3 **Text Loader** Document Default Data Loader *Model*
- 4 **OpenAI Embeddings – Indexierung** Embeddings Open Ai *Model*
- 5 **Placetel – Webhook Eingang** Webhook *Starts it*
- 6 **OpenAI Embeddings – Abfrage** Embeddings Open Ai *Model*
- 7 **Groq Chat Model** Lm Chat Groq *Model*
- 8 **Google Drive – Dateien auflisten** Http Request *Service*
- 9 **Supabase – Chunks speichern** Vector Store Supabase *Model*
- 10 **Question and Answer Chain** Chain Retrieval Qa *Model*
- 11 **Supabase Vector Store** Vector Store Supabase *Model*
- 12 **Loop – Jede Datei** Split In Batches *Logic*
- 13 **Placetel – Antwort zurückgeben** Respond To Webhook *Starts it*
- 14 **Vector Store Retriever** Retriever Vector Store *Model*
- 15 **Datei-IDs extrahieren** Code *Logic*
- 16 **Google Drive – Datei herunterladen** Google Drive *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 16, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, Supabase vectors
- **Model:** Groq, OpenAI
- **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 Groq and OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls Groq and OpenAI. 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%2Fbuild-a-placetel-rag-voice-assistant-with-google-drive)
- **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.

- [**Automate CVE detection with Google Drive** 16 steps · calls a model · Google Drive](https://millionrounds.com/workflow/automate-cve-detection-with-google-drive)
- [**Build a RAG chatbot with Gemini and Supabase** 16 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/build-a-rag-chatbot-with-gemini-and-supabase)
- [**Build a RAG knowledge assistant with Google Drive and OpenAI** 16 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/build-a-rag-knowledge-assistant-with-google-drive-and-openai)
- [**Bulletproof RAG starter – Google Drive to chatbot with OpenAI** 16 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/bulletproof-rag-starter-google-drive-to-chatbot-with-openai)
- [**Handle guest inquiries for multiple rentals** 16 steps · calls a model · Google Drive](https://millionrounds.com/workflow/handle-guest-inquiries-for-multiple-rentals)
- [**Power Placetel voice answers from OneDrive docs with OpenAI** 16 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/power-placetel-voice-answers-from-onedrive-docs-with-openai)