# Automated book summarization with DeepSeek: n8n workflow

> Started by an event in a connected app, and works across Google Drive and Qdrant. It puts DeepSeek behind a retrieval step, so answers are drawn from...

Source: https://millionrounds.com/workflow/automated-book-summarization-with-deepseek (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Research and reporting](https://millionrounds.com/workflows?category=Research+and+reporting#library)

# Automated book summarization with DeepSeek

Started by an event in a connected app, and works across Google Drive and Qdrant. It puts DeepSeek behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 21 steps: large, and worth reading before you trust it with anything live.

Large Calls a model: DeepSeek Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomated-book-summarization-with-deepseek)

**21 steps** Large: read it before trusting it with anything live

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 1 Model 12 Logic 5 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 **Simple Memory** Memory Buffer Window *Model*
- 3 **Embeddings Cohere** Embeddings Cohere *Model*
- 4 **File Created** Google Drive trigger *Starts it*
- 5 **DeepSeek Chat Model** Lm Chat Deep Seek *Model*
- 6 **Default Data Loader1** Document Default Data Loader *Model*
- 7 **AI Agent** Agent *Model*
- 8 **Qdrant Vector Store** Vector Store Qdrant *Model*
- 9 **Qdrant Vector Store1** Vector Store Qdrant *Model*
- 10 **qdrant_search** Vector Store Qdrant *Model*
- 11 **Google Drive** Google Drive *Service*
- 12 **Information Extractor** Information Extractor *Model*
- 13 **Question and Answer Chain** Chain Retrieval Qa *Model*
- 14 **Response** Code *Logic*
- 15 **Code** Code *Logic*
- 16 **Vector Store Retriever** Retriever Vector Store *Model*
- 17 **input** Code *Logic*
- 18 **Split Out** Split Out *Logic*
- 19 **Delete Collection** Http Request *Service*
- 20 **Doc** Code *Logic*
- 21 **Google Drive (create)** Google Drive *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 21
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Google Drive, Qdrant
- **Model:** DeepSeek
- **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 DeepSeek. 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 DeepSeek. 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?

Take your time. At 21 steps it is large: read it before trusting it with anything live.

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 21 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%2Fautomated-book-summarization-with-deepseek)
- **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 research and reporting, with the same services where possible, closest in size first.

- [**Transcribe media URLs to AI-summarized Google Drive notes** 21 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/transcribe-media-urls-to-ai-summarized-google-drive-notes)
- [**Analyze YouTube comments with OpenAI** 20 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/analyze-youtube-comments-with-openai)
- [**Compare LINE palm images and log Gemini health insights** 20 steps · calls a model · Google Drive, Google Sheets](https://millionrounds.com/workflow/compare-line-palm-images-and-log-gemini-health-insights)
- [**Effortless email management with DeepSeek and OpenAI** 22 steps · calls a model · Email, Gmail](https://millionrounds.com/workflow/effortless-email-management-with-deepseek-and-openai)
- [**AI-powered email automation for business: Summarize & respond** 23 steps · calls a model · Email, Google Drive](https://millionrounds.com/workflow/ai-powered-email-automation-for-business-summarize-and-respo)
- [**Community insights with Qdrant and Python** 23 steps · calls a model · Google Sheets, Qdrant](https://millionrounds.com/workflow/community-insights-with-qdrant-and-python)