# Multi-format document processing for RAG chatbot: n8n workflow

> Started by an event in a connected app, and works across Google Drive and Supabase vectors.

Source: https://millionrounds.com/workflow/multi-format-document-processing-for-rag-chatbot (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)

# Multi-format document processing for RAG chatbot

Started by an event in a connected app, 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. 16 steps, 1 branch, 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%2Fmulti-format-document-processing-for-rag-chatbot)

**16 steps** Medium: a working afternoon

**1** Branch: places the flow splits

**1** Loop or waits

**2** Services it connects to

## The flow

Starts it 1 Model 4 Logic 4 Service 7

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

- 1 **Recursive Character Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 2 **Embeddings OpenAI1** Embeddings Open Ai *Model*
- 3 **File Created** Google Drive trigger *Starts it*
- 4 **Enhanced Default Data Loader1** Document Default Data Loader *Model*
- 5 **Insert into Supabase Vectorstore1** Vector Store Supabase *Model*
- 6 **Set File ID1** Set *Logic*
- 7 **Loop Over Items** Split In Batches *Logic*
- 8 **Switch2** Switch *Logic*
- 9 **Download File1** Google Drive *Service*
- 10 **Extract PDF Text** Extract From File *Service*
- 11 **Extract from Text File** Extract From File *Service*
- 12 **Extract from Excel** Extract From File *Service*
- 13 **Convert to Google Doc1** Http Request *Service*
- 14 **Aggregate1** Aggregate *Logic*
- 15 **Delete File** Google Drive *Service*
- 16 **Summarize1** Summarize *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 16, with 1 branch, 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 an event in a connected app.

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. 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%2Fmulti-format-document-processing-for-rag-chatbot)
- **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.

- [**Chat with Google Drive and OpenAI** 16 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/chat-with-google-drive-and-openai)
- [**Chat with OpenAI and Google Drive** 16 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/chat-with-openai-and-google-drive)
- [**Chat with PDF and GraphRAG** 16 steps · calls a model · Google Drive](https://millionrounds.com/workflow/chat-with-pdf-and-graphrag)
- [**Extract data from Thai Government letters with Mistral** 16 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/extract-data-from-thai-government-letters-with-mistral)
- [**Send specific PDF attachments from Gmail to Google Drive** 16 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/send-specific-pdf-attachments-from-gmail-to-google-drive)
- [**Backup & restore n8n workflows with Telegram and Google Drive** 16 steps · Google Drive, Telegram](https://millionrounds.com/workflow/backup-and-restore-n8n-workflows-with-telegram-and-google-dr)