# Answer voice queries from a webhook over Google Drive docs: n8n workflow

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

Source: https://millionrounds.com/workflow/answer-voice-queries-from-a-webhook-over-google-drive-docs (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)

# Answer voice queries from a webhook over Google Drive docs

Started by another system calling it, and works across Google Drive and Supabase vectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 15 steps, 1 loop or waits: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanswer-voice-queries-from-a-webhook-over-google-drive-docs)

**15 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 7 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 **Webhook – Frage empfangen** Webhook *Starts it*
- 6 **GPT-4o-mini** Lm Chat Open Ai *Model*
- 7 **OpenAI Embeddings – Abfrage** Embeddings Open Ai *Model*
- 8 **Google Drive – Dateien auflisten** Http Request *Service*
- 9 **Supabase – Chunks speichern** Vector Store Supabase *Model*
- 10 **RAG – Antwort generieren** Agent *Model*
- 11 **Supabase – Wissensdatenbank** Vector Store Supabase *Model*
- 12 **Loop – Jede Datei** Split In Batches *Logic*
- 13 **Webhook – Antwort zurückgeben** Respond To Webhook *Starts it*
- 14 **Datei-IDs extrahieren** Code *Logic*
- 15 **Google Drive – Datei herunterladen** Google Drive *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 15, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, Supabase vectors
- **Model:** 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 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 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. 15 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 15 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%2Fanswer-voice-queries-from-a-webhook-over-google-drive-docs)
- **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 chatbot trained on your internal company data in 20mins** 15 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/build-a-chatbot-trained-on-your-internal-company-data-in-20m)
- [**Create a company policy chatbot with RAG and Pinecone** 15 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/create-a-company-policy-chatbot-with-rag-and-pinecone)
- [**Email daily job matches from Harman careers with OpenAI** 15 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/email-daily-job-matches-from-harman-careers-with-openai)
- [**HR knowledge chatbot with Google Drive and Gemini** 15 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/hr-knowledge-chatbot-with-google-drive-and-gemini)
- [**Optimize Amazon ads with OpenAI** 15 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/optimize-amazon-ads-with-openai)
- [**Optimize unstructured data for RAG with Blockify IdeaBlocks** 15 steps · calls a model · Google Drive, in-memory vectors](https://millionrounds.com/workflow/optimize-unstructured-data-for-rag-with-blockify-ideablocks)