# Answer questions from documents with RAG and Supabase: n8n workflow

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

Source: https://millionrounds.com/workflow/answer-questions-from-documents-with-rag-and-supabase (Millionrounds; every figure on the page links to its filing or article)

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

# Answer questions from documents with RAG and Supabase

Started by someone opening a chat with it, and works across Google Drive and Supabase vectors. It puts OpenAI and OpenRouter behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 19 steps: a working afternoon to understand properly.

Medium Calls a model: OpenAI, OpenRouter Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanswer-questions-from-documents-with-rag-and-supabase)

**19 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 2 Model 14 Logic 1 Service 2

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

- 1 **Default Data Loader** Document Default Data Loader *Model*
- 2 **When chat message received** Chat trigger *Starts it*
- 3 **GPT 4.1-mini** Lm Chat Open Router *Model*
- 4 **Reranker Cohere** Reranker Cohere *Model*
- 5 **GPT 4.1-mini1** Lm Chat Open Router *Model*
- 6 **Reranker Cohere1** Reranker Cohere *Model*
- 7 **Embeddings OpenAI2** Embeddings Open Ai *Model*
- 8 **Embeddings OpenAI1** Embeddings Open Ai *Model*
- 9 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 10 **Manual Trigger** Manual trigger *Starts it*
- 11 **Upload to Supabase** Vector Store Supabase *Model*
- 12 **RAG Agent** Agent *Model*
- 13 **Supabase Vector Store** Vector Store Supabase *Model*
- 14 **RAG Agent 2** Agent *Model*
- 15 **Metadata Agent** Agent *Model*
- 16 **Supabase Vector Store1** Vector Store Supabase *Model*
- 17 **Download File** Google Drive *Service*
- 18 **Extract from File** Extract From File *Service*
- 19 **Code** Code *Logic*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 19
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, Supabase vectors
- **Model:** OpenAI, OpenRouter
- **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 and OpenRouter. 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 OpenAI and OpenRouter. 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. 19 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 19 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-questions-from-documents-with-rag-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.

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

## Workflows like it

Also customer support, with the same services where possible, closest in size first.

- [**AI voice chatbot with ElevenLabs and OpenAI** 18 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/ai-voice-chatbot-with-elevenlabs-and-openai)
- [**Smart Customer Support System with OpenAI and Gmail** 18 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/smart-customer-support-system-with-openai-and-gmail)
- [**Smart email assistant: automate customer support with Supabase** 20 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/smart-email-assistant-automate-customer-support-with-supabas)
- [**Answer Instagram FAQ DMs with Gemini and Qdrant** 17 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/answer-instagram-faq-dms-with-gemini-and-qdrant)
- [**Automated Slack IT helpdesk with OpenAI and Supabase** 21 steps · calls a model · Slack, Supabase vectors](https://millionrounds.com/workflow/automated-slack-it-helpdesk-with-openai-and-supabase)
- [**Draft customer support email replies with Gmail** 17 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/draft-customer-support-email-replies-with-gmail)