# Build a RAG document chatbot with Supabase and OpenRouter: n8n workflow

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

Source: https://millionrounds.com/workflow/build-a-rag-document-chatbot-with-supabase-and-openrouter (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Documents and files](https://millionrounds.com/workflows?category=Documents+and+files#library)

# Build a RAG document chatbot with Supabase and OpenRouter

Started by another system calling it, and works across Google Drive and Supabase vectors. It puts Gemini and OpenRouter behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 10 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini, OpenRouter Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fbuild-a-rag-document-chatbot-with-supabase-and-openrouter)

**10 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 7 Service 1

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

- 1 **Chat Request Webhook** Webhook *Starts it*
- 2 **OpenRouter LLM** Lm Chat Open Router *Model*
- 3 **Google Drive PDF Downloader** Google Drive *Service*
- 4 **Gemini Embedding Model** Embeddings Google Gemini *Model*
- 5 **Recursive Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 6 **RAG Document Assistant** Agent *Model*
- 7 **Supabase Vector Store** Vector Store Supabase *Model*
- 8 **Supabase Vector Retriever** Vector Store Supabase *Model*
- 9 **Document Loader** Document Default Data Loader *Model*
- 10 **Return AI Response** Respond To Webhook *Starts it*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 10
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, Supabase vectors
- **Model:** Gemini, 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 Gemini and OpenRouter. 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 Gemini 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. 10 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 10 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-rag-document-chatbot-with-supabase-and-openrouter)
- **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 documents and files, with the same services where possible, closest in size first.

- [**AI-powered document processing & organization with Gemini** 10 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/ai-powered-document-processing-and-organization-with-gemini)
- [**Automate Chinese to English translation in Google Slides** 10 steps · calls a model · Google Drive, Google Slides](https://millionrounds.com/workflow/automate-chinese-to-english-translation-in-google-slides)
- [**PDF to SQL Server with OpenAI and Google Drive** 10 steps · calls a model · Google Drive, Supabase vectors](https://millionrounds.com/workflow/pdf-to-sql-server-with-openai-and-google-drive)
- [**Process large documents with OCR and SubworkflowAI** 10 steps · calls a model · Google Drive](https://millionrounds.com/workflow/process-large-documents-with-ocr-and-subworkflowai)
- [**RAG-powered document chat with Google Drive and OpenAI** 10 steps · calls a model · Google Drive](https://millionrounds.com/workflow/rag-powered-document-chat-with-google-drive-and-openai)
- [**Rename Gmail attachments with OpenAI** 10 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/rename-gmail-attachments-with-openai)