# Simple RAG chatbot with Gemini and Google Drive: n8n workflow

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

Source: https://millionrounds.com/workflow/simple-rag-chatbot-with-gemini-and-google-drive (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)

# Simple RAG chatbot with Gemini and Google Drive

Started by someone opening a chat with it, and works across Google Drive and in-memory vectors. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 11 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fsimple-rag-chatbot-with-gemini-and-google-drive)

**11 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 8 Service 1

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

- 1 **When chat message received** Chat trigger *Starts it*
- 2 **Simple Memory** Memory Buffer Window *Model*
- 3 **Embeddings Cohere** Embeddings Cohere *Model*
- 4 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 5 **Embeddings Cohere1** Embeddings Cohere *Model*
- 6 **Default Data Loader** Document Default Data Loader *Model*
- 7 **Google Drive Trigger** Google Drive trigger *Starts it*
- 8 **AI Agent** Agent *Model*
- 9 **Simple Vector Store** Vector Store In Memory *Model*
- 10 **Simple Vector Store1** Vector Store In Memory *Model*
- 11 **Download file** Google Drive *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 11
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, in-memory vectors
- **Model:** Gemini
- **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 in-memory vectors accounts, and a key for Gemini. 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 Gemini. 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. 11 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 11 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%2Fsimple-rag-chatbot-with-gemini-and-google-drive)
- **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)[in-memory vectors](https://millionrounds.com/workflows?service=in-memory+vectors#library)

## Workflows like it

Also ai assistants, with the same services where possible, closest in size first.

- [**Build & query RAG system with Google Drive and OpenAI** 11 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/build-and-query-rag-system-with-google-drive-and-openai)
- [**Create AI diary entries from LINE photos with OpenAI Vision** 11 steps · calls a model · Google Drive](https://millionrounds.com/workflow/create-ai-diary-entries-from-line-photos-with-openai-vision)
- [**Create high quality UGC images with Nano Banana** 11 steps · calls a model · Google Drive](https://millionrounds.com/workflow/create-high-quality-ugc-images-with-nano-banana)
- [**Generate data-driven UX personas with Perplexity and DALL** 11 steps · calls a model · Google Docs, Google Drive](https://millionrounds.com/workflow/generate-data-driven-ux-personas-with-perplexity-and-dall)
- [**Image ads agent with OpenAI and Google Drive** 11 steps · calls a model · Google Drive](https://millionrounds.com/workflow/image-ads-agent-with-openai-and-google-drive)
- [**Save AI-generated markdown to Google Docs with OpenAI** 11 steps · calls a model · Google Drive](https://millionrounds.com/workflow/save-ai-generated-markdown-to-google-docs-with-openai)