Gestión de correos electrónicos con IA de forma sencilla

• •Cuenta de Google y credenciales de API de Gmail
• •Credenciales de API de Google Drive
• •Pueden requerirse credenciales de autenticación para la API de destino
• •Clave de API de OpenAI
• •Información de conexión del servidor Qdrant

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  "name": "Effortless Email Management with AI",
  "tags": [],
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        "subject": "=Re: {{ $('Email Trigger (IMAP)').item.json.subject }}",
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        "subject": "=[Approval Required]  {{ $('Email Trigger (IMAP)').item.json.subject }}",
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              "category": "Declined",
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            "__rl": true,
            "mode": "list",
            "value": "My Drive",
            "cachedResultUrl": "https://drive.google.com/drive/my-drive",
            "cachedResultName": "My Drive"
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          "folderId": {
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            "mode": "id",
            "value": "=test-whatsapp"
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        "resource": "fileFolder"
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        "content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
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        "content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
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          "mode": "id",
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      "parameters": {
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        "content": "# STEP 3 - MAIN FLOW\n\n\n## How it works\nThis workflow automates the handling of incoming emails, summarizes their content, generates appropriate responses using a retrieval-augmented generation (RAG) approach, and obtains approval or suggestions before sending replies. \n\nYou can quickly integrate Gmail and Outlook via the appropriate trigger nodes"
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      "position": [
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      "parameters": {
        "width": 320,
        "height": 240,
        "content": "Chain that summarizes the received email"
      },
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    },
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      "position": [
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      "parameters": {
        "width": 340,
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        "content": "Agent that retrieves business information from a vector database and processes the response"
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "height": 240,
        "content": "Convert email to Markdown format for better understanding of LLM models"
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      "parameters": {
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        "content": "## IMPORTANT\n\nFor the \"Send Draft\" node, you need to send the draft email to a Gmail address because it is the only one that allows the \"Send and wait for response\" function."
      },
      "typeVersion": 1
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    {
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      "position": [
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      ],
      "parameters": {
        "width": 360,
        "height": 240,
        "content": "Based on the suggestion received, the text classifier can understand whether the feedback received approves the generated email or not."
      },
      "typeVersion": 1
    },
    {
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      "name": "Email Reviewer",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        380,
        -40
      ],
      "parameters": {
        "text": "=Review at the following email:\n{{ $('Edit Fields').item.json.email }}\n\nFeedback from human:\n{{ $json.data.text }}",
        "options": {
          "systemMessage": "If you are an expert in reviewing emails before sending them. You need to review and structure them in such a way that you can send them. It must be in HTML format and you can insert (if you think it is appropriate) only HTML characters such as <br>, <b>, <i>, <p> where necessary. Be concise and never exceed 100 words. Only the body of the email"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.7
    },
    {
      "id": "ecd9d3f8-2e79-4e5f-a73d-48de60441376",
      "name": "Sticky Note8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        340,
        -120
      ],
      "parameters": {
        "width": 340,
        "height": 220,
        "content": "The Email Reviewer agent, taking inspiration from human feedback, rewrites the email"
      },
      "typeVersion": 1
    }
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