# Create a knowledge base chatbot with Google Drive and OpenAI: n8n workflow

> Started by another system calling it, and works across Google Drive and in-memory vectors.

Source: https://millionrounds.com/workflow/create-a-knowledge-base-chatbot-with-google-drive-and-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)

# Create a knowledge base chatbot with Google Drive and OpenAI

Started by another system calling it, and works across Google Drive and in-memory vectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 20 steps: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fcreate-a-knowledge-base-chatbot-with-google-drive-and-openai)

**20 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 3 Model 11 Logic 2 Service 4

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 OpenAI1** Embeddings Open Ai *Model*
- 5 **OpenAI Chat Model1** Lm Chat Open Ai *Model*
- 6 **Webhook** Webhook *Starts it*
- 7 **File created in the Folder** Google Drive trigger *Starts it*
- 8 **File updated in the Folder** Google Drive trigger *Starts it*
- 9 **Window Buffer Memory** Memory Buffer Window *Model*
- 10 **Default Data Loader** Document Default Data Loader *Model*
- 11 **Simple Vector Store** Vector Store In Memory *Model*
- 12 **AI Agent** Agent *Model*
- 13 **Simple Vector Store2** Vector Store In Memory *Model*
- 14 **Answer questions with a vector store** Tool Vector Store *Model*
- 15 **Edit Fields** Set *Logic*
- 16 **Search Files in your Google Drive Folder** Google Drive *Service*
- 17 **Is AI Agent output exist?** Code *Logic*
- 18 **Download Files** Google Drive *Service*
- 19 **Token Authentication** Http Request *Service*
- 20 **Send to Chat App** Http Request *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 20
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, in-memory 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 in-memory vectors accounts, and a key for OpenAI. 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 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. 20 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 20 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%2Fcreate-a-knowledge-base-chatbot-with-google-drive-and-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)[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.

- [**Generate 100+ ad variations from one image** 19 steps · calls a model · Google Drive](https://millionrounds.com/workflow/generate-100-ad-variations-from-one-image)
- [**Generate Instagram news carousels from RSS feeds with OpenAI** 19 steps · calls a model · Google Drive, RSS](https://millionrounds.com/workflow/generate-instagram-news-carousels-from-rss-feeds-with-openai)
- [**Music Producer Chatbot with Gemini and Suno** 19 steps · calls a model · Google Drive](https://millionrounds.com/workflow/music-producer-chatbot-with-gemini-and-suno)
- [**Retrieve and answer Gmail email queries with Llama and Qdrant** 21 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/retrieve-and-answer-gmail-email-queries-with-llama-and-qdran)
- [**Run Bunker Guard NPC chat and RAG lore checks with Gemini** 19 steps · calls a model · Google Drive, in-memory vectors](https://millionrounds.com/workflow/run-bunker-guard-npc-chat-and-rag-lore-checks-with-gemini)
- [**Score inspection defects and draft repair packets with OpenAI** 19 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/score-inspection-defects-and-draft-repair-packets-with-opena)