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Automated book summarization with DeepSeek AI, Qdrant Vector DB & Google Drive

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...

DevelopmentCore NodesData & StorageAILangchainVector Store QdrantText Splitter Recursive Character Text SplitterDocument Default Data Loader
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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!

![AI Book Sum Thum.png](fileId:1423)

[Result Example](https://drive.google.com/file/d/14Z4V40jiSAGdELbocQTxrH1fQZ9SYCC/view?usp=sharing)

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Problem πŸ› οΈ

⏳ Reading full books or papers to extract core ideas can take hours. 🧠 Manually summarizing or searching inside long documents is inefficient and overwhelming.

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