Automated Book Summarization with DeepSeek AI, Qdrant Vector DB & Google Drive β€” n8n Workflow

High complexity⚑ Trigger21 nodes✨ AIπŸ‘ 472 viewsby Abdellah Homrani

Overview

πŸ“š AI Book Summarizer with Vector Search – n8n Automation

Overview This n8n workflow automates the process of summarizing uploaded books from Google Drive using vector databases and LLMs. It uses Cohere for embeddings, Qdrant for storage and retrieval, and DeepSeek or your preferred LLM for summarization and Q&A. Designed for researchers, students, and productivity enthusiasts!

Result Example

Problem πŸ› οΈ

⏳ Reading full books or papers to extract core ideas can take hours. 🧠 Manually summari

Nodes used

HTTP RequestGoogle DriveCodeAI AgentQuestion and Answer ChainEmbeddings CohereSimple MemoryVector Store RetrieverRecursive Character Text SplitterDefault Data LoaderQdrant Vector StoreInformation ExtractorDeepSeek Chat Model

Workflow Preview

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How it Works

  1. 1

    Trigger

    The workflow starts with a trigger trigger.

  2. 2

    Process

    Data flows through 21 nodes, connecting agent, chainretrievalqa, code.

  3. 3

    Output

    The workflow completes its automation and delivers the result to the configured destination.

Node Details (21)

HT

HTTP Request

httpRequest

#1
GO

Google Drive

googleDrive

#2
CO

Code

code

#3
AI

AI Agent

n8n-nodes-langchain.agent

#4
QU

Question and Answer Chain

n8n-nodes-langchain.chainRetrievalQa

#5
EM

Embeddings Cohere

n8n-nodes-langchain.embeddingsCohere

#6
SI

Simple Memory

n8n-nodes-langchain.memoryBufferWindow

#7
VE

Vector Store Retriever

n8n-nodes-langchain.retrieverVectorStore

#8
RE

Recursive Character Text Splitter

n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter

#9
DE

Default Data Loader

n8n-nodes-langchain.documentDefaultDataLoader

#10
QD

Qdrant Vector Store

n8n-nodes-langchain.vectorStoreQdrant

#11
IN

Information Extractor

n8n-nodes-langchain.informationExtractor

#12
DE

DeepSeek Chat Model

n8n-nodes-langchain.lmChatDeepSeek

#13

How to Import This Workflow

  1. 1Click Download JSON button on the right to save the workflow file.
  2. 2Open your n8n instance. Go to Workflows β†’ New β†’ Import from file.
  3. 3Select the downloaded automated-book-summarization-with-deepseek-ai-qdrant-vector-db-google-drive file and click Import.
  4. 4Set up credentials for each service node (API keys, OAuth, etc.).
  5. 5Click Test Workflow to verify everything works, then activate it.

Or paste directly in n8n β†’ Import from JSON:

{ "name": "Automated Book Summarization with DeepSeek AI, Qdrant Vector DB & Google Drive", "nodes": [...], ...}

Integrations

agentchainretrievalqacodedocumentdefaultdataloaderembeddingscoheregoogledrivegoogledrivetriggerhttprequestinformationextractorlmchatdeepseekmemorybufferwindowretrievervectorstoresplitouttextsplitterrecursivecharactertextsplittervectorstoreqdrant

Get This Workflow

Download and import in one click

View on n8n.io
Nodes21
Complexityhigh
Triggertrigger
Views472
CategoryAI

Created by

Abdellah Homrani

Abdellah Homrani

@adamcrafts

Tags

agentchainretrievalqacodedocumentdefaultdataloaderembeddingscoheregoogledrivegoogledrivetriggerhttprequestinformationextractorlmchatdeepseek
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