# Bulletproof RAG starter – Google Drive to chatbot with OpenAI: n8n workflow

> Started by someone opening a chat with it, and works across Google Drive and Qdrant. It puts OpenAI behind a retrieval step, so answers are drawn from...

Source: https://millionrounds.com/workflow/bulletproof-rag-starter-google-drive-to-chatbot-with-openai (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)

# Bulletproof RAG starter – Google Drive to chatbot with OpenAI

Started by someone opening a chat with it, and works across Google Drive and Qdrant. It puts 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: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fbulletproof-rag-starter-google-drive-to-chatbot-with-openai)

**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 3 Model 9 Logic 1 Service 3

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 OpenAI** Embeddings Open Ai *Model*
- 3 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 4 **Embeddings OpenAI2** Embeddings Open Ai *Model*
- 5 **Collection erstellen** Manual trigger *Starts it*
- 6 **Chat** Chat trigger *Starts it*
- 7 **Google Drive Trigger** Google Drive trigger *Starts it*
- 8 **Default Data Loader** Document Default Data Loader *Model*
- 9 **Qdrant Vector Store** Vector Store Qdrant *Model*
- 10 **Question and Answer Chain** Chain Retrieval Qa *Model*
- 11 **Qdrant Vector Store1** Vector Store Qdrant *Model*
- 12 **Create collection** Http Request *Service*
- 13 **Search files and folders** Google Drive *Service*
- 14 **Vector Store Retriever** Retriever Vector Store *Model*
- 15 **Loop Over Items** Split In Batches *Logic*
- 16 **Download file** Google Drive *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 16, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, Qdrant
- **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 Qdrant accounts, and a key for OpenAI. 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. 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%2Fbulletproof-rag-starter-google-drive-to-chatbot-with-openai)
- **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)[Qdrant](https://millionrounds.com/workflows?service=Qdrant#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 Placetel RAG voice assistant with Google Drive** 16 steps · calls a model · Google Drive, Supabase vectors](https://millionrounds.com/workflow/build-a-placetel-rag-voice-assistant-with-google-drive)
- [**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)
- [**Handle guest inquiries for multiple rentals** 16 steps · calls a model · Google Drive](https://millionrounds.com/workflow/handle-guest-inquiries-for-multiple-rentals)
- [**WhatsApp group chat with OpenAI and Google Drive** 16 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/whatsapp-group-chat-with-openai-and-google-drive)
- [**Answer voice queries from a webhook over Google Drive docs** 15 steps · calls a model · Google Drive, Supabase vectors](https://millionrounds.com/workflow/answer-voice-queries-from-a-webhook-over-google-drive-docs)