# RAG: context-aware chunking | Google Drive to Pinecone: n8n workflow

> Started by an event in a connected app, and works across Google Drive and Pinecone. It puts Gemini and OpenRouter behind a retrieval step, so answers are...

Source: https://millionrounds.com/workflow/rag-context-aware-chunking-google-drive-to-pinecone (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)

# RAG: context-aware chunking | Google Drive to Pinecone

Started by an event in a connected app, and works across Google Drive and Pinecone. It puts Gemini and OpenRouter behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 13 steps, 1 loop or waits: a working afternoon to understand properly.

Medium Calls a model: Gemini, OpenRouter Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Frag-context-aware-chunking-google-drive-to-pinecone)

**13 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**1** Loop or waits

**2** Services it connects to

## The flow

Starts it 1 Model 6 Logic 4 Service 2

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

- 1 **When clicking ‘Test workflow’** Manual trigger *Starts it*
- 2 **OpenRouter Chat Model** Lm Chat Open Router *Model*
- 3 **Embeddings Google Gemini** Embeddings Google Gemini *Model*
- 4 **Recursive Character Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 5 **Get Document From Google Drive** Google Drive *Service*
- 6 **AI Agent - Prepare Context** Agent *Model*
- 7 **Pinecone Vector Store** Vector Store Pinecone *Model*
- 8 **Default Data Loader** Document Default Data Loader *Model*
- 9 **Extract Text Data From Google Document** Extract From File *Service*
- 10 **Concatenate the context and section text** Set *Logic*
- 11 **Loop Over Items** Split In Batches *Logic*
- 12 **Split Document Text Into Sections** Code *Logic*
- 13 **Prepare Sections For Looping** Split Out *Logic*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 13, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Google Drive, Pinecone
- **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 Pinecone 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 an event in a connected app.

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. 13 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 13 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%2Frag-context-aware-chunking-google-drive-to-pinecone)
- **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)[Pinecone](https://millionrounds.com/workflows?service=Pinecone#library)

## Workflows like it

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

- [**AI Beauty Reel Generator from Product Photos (Gemini)** 13 steps · calls a model · Google Drive](https://millionrounds.com/workflow/ai-beauty-reel-generator-from-product-photos-gemini)
- [**Automate YouTube Shorts Uploads with OpenAI and Google Drive** 13 steps · calls a model · Google Drive, YouTube](https://millionrounds.com/workflow/automate-youtube-shorts-uploads-with-openai-and-google-drive)
- [**Build a RAG chat system with Aryn DocParse and AWS S3** 13 steps · calls a model · Pinecone, S3](https://millionrounds.com/workflow/build-a-rag-chat-system-with-aryn-docparse-and-aws-s3)
- [**Generate creative ADV images from references with Seedream** 13 steps · calls a model · Google Drive](https://millionrounds.com/workflow/generate-creative-adv-images-from-references-with-seedream)
- [**Google Drive RAG chatbot builder with OpenAI and Pinecone** 13 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/google-drive-rag-chatbot-builder-with-openai-and-pinecone)
- [**Power a Nexora RAG chatbot with Groq and Gemini** 13 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/power-a-nexora-rag-chatbot-with-groq-and-gemini)