Automate Book Summarization and Semantic Search with AI and Google Drive

This n8n workflow streamlines the process of summarizing books uploaded to Google Drive using AI technologies. It leverages Cohere for embeddings, Qdrant for vector storage, and DeepSeek for summarization and Q&A, enhancing productivity for researchers and students.

n8n

Alex Petrov

50 workflows

This workflow is designed to automate the extraction of key insights from books uploaded to Google Drive. It utilizes advanced AI technologies to split, embed, and store book content in a vector database, enabling efficient semantic search and question-answering. The final summary is stored back in Google Drive, making it easily accessible for further use. This setup is ideal for those looking to maximize their learning and research efficiency.

$14.99

Last updated October 3, 2026

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How to import this workflow into n8n

1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.

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