Automated Book Summarization with DeepSeek AI, Qdrant Vector DB & Google Drive

📚 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 🛠️ ⏳ Reading full books or papers to extract core ideas can take hours. 🧠 Manually summarizing or searching inside long documents is inefficient and overwhelming. Solution ✅ Use this workflow to: Upload a book to Google Drive 📥 Auto-split and embed the content into Qdrant 🔍 Summarize it usi

Help me set up the n8n workflow "Automated Book Summarization with DeepSeek AI, Qdrant Vector DB & Google Drive" (https://n8n.io/workflows/4566). It uses: HTTP Request, Google Drive, Code, AI Agent, Question and Answer Chain, Embeddings Cohere, Simple Memory, Vector Store Retriever, Recursive Character Text Splitter, Default Data Loader, Qdrant Vector Store, Information Extractor, DeepSeek Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.