# Build a RAG system by uploading PDFs to the Google Gemini File: n8n workflow

> Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/build-a-rag-system-by-uploading-pdfs-to-the-google-gemini-fi (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)

# Build a RAG system by uploading PDFs to the Google Gemini File

Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 14 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fbuild-a-rag-system-by-uploading-pdfs-to-the-google-gemini-fi)

**14 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 3 Model 3 Logic 4 Service 4

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

- 1 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 2 **On form submission** Form trigger *Starts it*
- 3 **When chat message received** Chat trigger *Starts it*
- 4 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 5 **SearchStore** Http Request Tool *Service*
- 6 **Simple Memory** Memory Buffer Window *Model*
- 7 **Create Store** Http Request *Service*
- 8 **Merge** Merge *Logic*
- 9 **Get Store** Set *Logic*
- 10 **Get Store1** Set *Logic*
- 11 **Merge1** Merge *Logic*
- 12 **Rag Agent** Agent *Model*
- 13 **Upload File** Http Request *Service*
- 14 **Import to Store** Http Request *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 14
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **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, 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. 14 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 14 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%2Fbuild-a-rag-system-by-uploading-pdfs-to-the-google-gemini-fi)
- **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.

## Workflows like it

Also documents and files, with the same services where possible, closest in size first.

- [**Automate Document Q&A with Multi-Agent RAG Orchestration** 14 steps · calls a model](https://millionrounds.com/workflow/automate-document-q-and-a-with-multi-agent-rag-orchestration)
- [**Build a voice & text Telegram Bot with OpenAI and Gemini** 14 steps · calls a model · Telegram](https://millionrounds.com/workflow/build-a-voice-and-text-telegram-bot-with-openai-and-gemini)
- [**Chat with GitHub API and Pinecone** 14 steps · calls a model · Pinecone](https://millionrounds.com/workflow/chat-with-github-api-and-pinecone)
- [**Chat with Google Drive and Pinecone** 14 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/chat-with-google-drive-and-pinecone-2)
- [**Compare supplier contract terms and draft pushback with Gemini** 14 steps · calls a model · Gmail](https://millionrounds.com/workflow/compare-supplier-contract-terms-and-draft-pushback-with-gemi)
- [**Create PDF flashcards, quizzes, and study plans with Gemini** 14 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/create-pdf-flashcards-quizzes-and-study-plans-with-gemini)