Moteur de recommandation de livres piloté par l'IA

• •Peut nécessiter les informations d'identification d'authentification de l'API cible

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  "name": "AI-Driven Book Recommendation Engine",
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        "content": "## Overview: \n\nThis workflow triggers on book request emails, uses Ollama LLM to extract intent, queries a Book Search API for data (title, summary, details), handles no-book cases, formats and enhances the data, generates a personalized email, and sends it to the user.\n\n✅ Ideal for automated book suggestions using LLMs and structured APIs.\n✅ Great for newsletter, reading clubs, and educational bots.\n"
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        "content": "## How to Run:\n\n1. Ensure the email trigger is connected to a valid inbox (IMAP/Gmail).\n2. Verify the Ollama node is running with the correct model.\n3. Set valid credentials for the book search API.\n4. Click **“Execute Workflow”** or activate the workflow to listen in real-time.\n5. Send a test email with a book request (e.g., “Recommend me a sci-fi novel.”).\n6. Check the sent mailbox for the recommendation email.\n\n## Tip: \nCustomize the book genre parser or API call to match your use case.\n"
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        "content": "## Email Input Processing\n\nTriggers on new book request emails and uses Ollama LLM to extract user intent."
      },
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        "width": 880,
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        "content": "## Output Generation\n\nFormats data, refines it with code, creates a personalized email, and sends it to the user."
      },
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    {
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        "content": "## Book Data Retrieval\n\nGenerates a search query, fetches book data (title, summary, details) via API, and validates the response."
      },
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        "width": 620,
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        "content": "## Data Preparation\n\nExtracts summary, ensures data readiness, and gathers additional book details."
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