{
  "id": "MMDt8lGtac2oU8nI",
  "meta": {
    "instanceId": "workflow-49a233cb",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:45.277283",
    "updatedAt": "2025-09-29T07:07:45.277294",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Build a Chatbot, Voice Agent and Phone Agent with Voiceflow, Google Calendar and RAG",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "nodes": [
    {
      "id": "20605948-5277-4fd7-9ba0-63f645bf2dcc",
      "name": "n8n_order",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -340,
        -140
      ],
      "webhookId": "9ff7a394-5b4b-4790-a96b-c41c4ba27fa5",
      "parameters": {
        "path": "9ff7a394-5b4b-4790-a96b-c41c4ba27fa5",
        "options": {},
        "responseMode": "responseNode"
      },
      "typeVersion": 2,
      "notes": "This webhook node performs automated tasks as part of the workflow."
    },
    {
      "id": "9ef7971e-f679-4d5e-b347-3238d51a06d6",
      "name": "Google Calendar",
      "type": "n8n-nodes-base.googleCalendar",
      "position": [
        300,
        280
      ],
      "parameters": {
        "end": "={{ $json.output.end }}",
        "start": "={{ $json.output.start }}",
        "calendar": {
          "__rl": true,
          "mode": "list",
          "value": "info@n3w.it",
          "cachedResultName": "info@n3w.it"
        },
        "additionalFields": {
          "summary": "=Event title with {{ $('n8n_appointment').item.json.query.Email }}",
          "description": "Event description"
        }
      },
      "credentials": {
        "googleCalendarOAuth2Api": {
          "id": "8RFK3u13g2PJEGa9",
          "name": "Google Calendar account"
        }
      },
      "typeVersion": 1.3,
      "notes": "This googleCalendar node performs automated tasks as part of the workflow."
    },
    {
      "id": "17b9f162-c4a3-43ec-b640-a68ebc67b0c9",
      "name": "OpenAI Chat Model3",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -120,
        480
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4zwP0MSr8zkNvvV9",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2,
      "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "5b40db3c-6c98-4fea-9c3b-98ba7e13bc30",
      "name": "Concert start date",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -80,
        280
      ],
      "parameters": {
        "text": "=Convert this date to a compatible format for Google Calendar APIs for the start date, and for the end date add 1 hour to the start date.\n\nHere is the start date:\n{{ $json.query.Appointment_date }}",
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.6,
      "notes": "This chainLlm node performs automated tasks as part of the workflow."
    },
    {
      "id": "8931d21a-7c30-40ae-b0b0-1f5f6868b3a3",
      "name": "n8n_appointment",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -340,
        280
      ],
      "webhookId": "f5edfe92-649b-40da-ab35-f818ccb55ad4",
      "parameters": {
        "path": "f5edfe92-649b-40da-ab35-f818ccb55ad4",
        "options": {},
        "responseMode": "responseNode"
      },
      "typeVersion": 2,
      "notes": "This webhook node performs automated tasks as part of the workflow."
    },
    {
      "id": "fa3e66ca-de09-496b-be14-483b33386e07",
      "name": "Retrive Qdrant Vector Store",
      "type": "n8n-nodes-base.noOp",
      "position": [
        20,
        1280
      ],
      "parameters": {
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "scarperia",
          "cachedResultName": "scarperia"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "iyQ6MQiVaF3VMBmt",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1,
      "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
    },
    {
      "id": "ea7be112-1949-47b7-b68b-ae2f3a7b1b71",
      "name": "Embeddings OpenAI2",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -20,
        1460
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4zwP0MSr8zkNvvV9",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2,
      "notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "e61ff57f-a109-41e0-87f3-522b1fa78dd6",
      "name": "RAG",
      "type": "n8n-nodes-base.noOp",
      "position": [
        180,
        1080
      ],
      "parameters": {
        "name": "company_data",
        "description": "Retrive data about company knowledge from vector store"
      },
      "typeVersion": 1,
      "notes": "This toolVectorStore node performs automated tasks as part of the workflow."
    },
    {
      "id": "fce158b8-73a3-42c1-baf3-9f2ae979fe15",
      "name": "OpenAI Chat Model2",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -20,
        1080
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4zwP0MSr8zkNvvV9",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2,
      "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "e2bcfa68-3642-4e49-89cb-e08faade984c",
      "name": "OpenAI Chat Model1",
      "type": "n8n-nodes-base.noOp",
      "position": [
        340,
        1300
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4zwP0MSr8zkNvvV9",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2,
      "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "2a79c66c-040b-4ca2-ad91-a0683d0d2996",
      "name": "Retrive Agent",
      "type": "n8n-nodes-base.noOp",
      "position": [
        60,
        860
      ],
      "parameters": {
        "text": "={{ $json.query.Question }}",
        "agent": "conversationalAgent",
        "options": {
          "systemMessage": "You are an AI-powered assistant for an electronics store. Your primary goal is to assist customers by providing accurate and helpful information about products, troubleshooting tips, and general support. Use the provided knowledge base (retrieved documents) to answer questions with precision and professionalism.\n\n**Guidelines**:\n1. **Product Information**:\n   - Provide detailed descriptions of products, including specifications, features, and compatibility.\n   - Highlight key selling points and differences between similar products.\n   - Mention availability, pricing, and promotions if applicable.\n\n2. **Technical Support**:\n   - Offer step-by-step troubleshooting guides for common issues.\n   - Suggest solutions for setup, installation, or configuration problems.\n   - If the issue is complex, recommend contacting the store’s support team for further assistance.\n\n3. **Customer Service**:\n   - Respond politely and professionally to all inquiries.\n   - If a question is unclear, ask for clarification to provide the best possible answer.\n   - For order-related questions (e.g., status, returns, or cancellations), guide customers on how to proceed using the store’s systems.\n\n4. **Knowledge Base Usage**:\n   - Always reference the provided knowledge base (retrieved documents) to ensure accuracy.\n   - If the knowledge base does not contain relevant information, inform the customer and suggest alternative resources or actions.\n\n5. **Tone and Style**:\n   - Use a friendly, approachable, and professional tone.\n   - Avoid technical jargon unless the customer demonstrates familiarity with the topic.\n   - Keep responses concise but informative.\n\n**Example Interactions**:\n1. **Product Inquiry**:\n   - Customer: \"What’s the difference between the XYZ Smartwatch and the ABC Smartwatch?\"\n   - AI: \"The XYZ Smartwatch features a longer battery life (up to 7 days) and built-in GPS, while the ABC Smartwatch has a brighter AMOLED display and supports wireless charging. Both are compatible with iOS and Android devices. Would you like more details on either product?\"\n\n2. **Technical Support**:\n   - Customer: \"My wireless router isn’t connecting to the internet.\"\n   - AI: \"Please try the following steps: 1) Restart your router and modem. 2) Ensure all cables are securely connected. 3) Check if the router’s LED indicators show a stable connection. If the issue persists, you may need to reset the router to factory settings. Would you like a detailed guide for resetting your router?\"\n\n3. **Customer Service**:\n   - Customer: \"How do I return a defective product?\"\n   - AI: \"To return a defective product, please visit our Returns Portal on our website and enter your order number. You’ll receive a return label and instructions. If you need further assistance, our support team is available at support@electronicsstore.com.\"\n\n**Limitations**:\n- If the question is outside the scope of the knowledge base or requires human intervention, inform the customer and provide contact details for the appropriate department.\n- Do not provide speculative or unverified information. Always rely on the knowledge base or direct the customer to official resources."
        },
        "promptType": "define"
      },
      "typeVersion": 1.7,
      "notes": "This agent node performs automated tasks as part of the workflow."
    },
    {
      "id": "be516c9c-d2fb-4dea-9a3b-9674be5ea689",
      "name": "n8n_rag",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -360,
        860
      ],
      "webhookId": "edb1e894-1210-4902-a34f-a014bbdad8d8",
      "parameters": {
        "path": "edb1e894-1210-4902-a34f-a014bbdad8d8",
        "options": {},
        "responseMode": "responseNode"
      },
      "typeVersion": 2,
      "notes": "This webhook node performs automated tasks as part of the workflow."
    },
    {
      "id": "2412721d-7353-4a27-8068-5c90872c7a51",
      "name": "Tracking response",
      "type": "n8n-nodes-base.set",
      "position": [
        360,
        -140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "86f332ff-7b89-4dd4-8df9-06c081625d33",
              "name": "text",
              "type": "string",
              "value": "=Your order status is: {{ $json.status }}"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "4965d781-1452-42c9-8a84-baacb5abe97f",
      "name": "Calendar response",
      "type": "n8n-nodes-base.set",
      "position": [
        500,
        280
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "0fe6fe50-9263-479a-ab01-ca1d15ce2412",
              "name": "text",
              "type": "string",
              "value": "L'evento è stato creato con successo"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "5311be28-2878-41ce-a70f-4e4aebcea0f9",
      "name": "Webhook tracking response",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        700,
        -140
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1,
      "notes": "This respondToWebhook node performs automated tasks as part of the workflow."
    },
    {
      "id": "84d8558f-e6fd-400e-ae2e-0b5fec309561",
      "name": "API URL Tracking",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        20,
        -140
      ],
      "parameters": {
        "url": "{{ $env.BASE_URL }}",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "Order number",
              "value": "={{ $json.Order_number }}"
            },
            {
              "name": "Email",
              "value": "={{ $json.Order_number }}"
            }
          ]
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "32eb8645-c56e-4db4-8870-f28161cba048",
      "name": "Webhook calendar response",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        700,
        280
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1,
      "notes": "This respondToWebhook node performs automated tasks as part of the workflow."
    },
    {
      "id": "72e7f085-d1e7-4967-aaa5-161ff0e83c06",
      "name": "Structured Output Parser",
      "type": "n8n-nodes-base.noOp",
      "position": [
        140,
        480
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"start\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"end\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
      },
      "typeVersion": 1.2,
      "notes": "This outputParserStructured node performs automated tasks as part of the workflow."
    },
    {
      "id": "3822b875-73f0-4700-8fc4-e4d3285f593a",
      "name": "Webhook RAG response",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        700,
        860
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1,
      "notes": "This respondToWebhook node performs automated tasks as part of the workflow."
    },
    {
      "id": "0b43f63b-3c00-4db4-8b28-9938add9fdbe",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1100,
        -1320
      ],
      "parameters": {
        "width": 1140,
        "height": 2200,
        "content": "# STEP 6 - VOICEFLOW\n\n- Register on [Voiceflow]({{ $env.WEBHOOK_URL }} \n- Create the workflow as shown in the following image\n![image]({{ $env.WEBHOOK_URL }}\n- There are 3 \"Captures\":\n-- n8n_order\n-- n8n_appointment\n-- n8n_rag\n- Add in the created functions the url of the corresponding n8n Webhook trigger node\n- Test your Agent\n- Get your projectID\n- In the Widget section choose Chat or Voice and copy the installation script\n![image]({{ $env.WEBHOOK_URL }}\n![image]({{ $env.WEBHOOK_URL }}\n\nPS. You can import a Twilio number to assign it to your agent for becoming a Phone Agent\n![image]({{ $env.WEBHOOK_URL }}\n\n"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "589165c8-920d-40e3-8e28-50e94dd37555",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -380,
        -1120
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This manualTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "74c314bb-c445-42f8-8f9d-2ab646486044",
      "name": "Qdrant Vector Store",
      "type": "n8n-nodes-base.noOp",
      "position": [
        600,
        -1000
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "="
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "iyQ6MQiVaF3VMBmt",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1,
      "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
    },
    {
      "id": "01c05ac3-ac5c-4f1a-a756-db8de4a30e56",
      "name": "Create collection",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -80,
        -1260
      ],
      "parameters": {
        "url": "{{ $env.WEBHOOK_URL }}",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n  \"filter\": {}\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "{{ $credentials.genericCredentialType }}",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "qhny6r5ql9wwotpn",
          "name": "Qdrant API (Hetzner)"
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "2d7adb45-aae7-4617-b1d1-5a23f3eb3b20",
      "name": "Refresh collection",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -80,
        -1000
      ],
      "parameters": {
        "url": "{{ $env.WEBHOOK_URL }}",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n  \"filter\": {}\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "{{ $credentials.genericCredentialType }}",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "qhny6r5ql9wwotpn",
          "name": "Qdrant API (Hetzner)"
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "5e406bd7-8a93-4db2-8d3d-e92e8c9f4f01",
      "name": "Get folder",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        140,
        -1000
      ],
      "parameters": {
        "filter": {
          "driveId": {
            "__rl": true,
            "mode": "list",
            "value": "My Drive",
            "cachedResultUrl": "{{ $env.WEBHOOK_URL }}",
            "cachedResultName": "My Drive"
          },
          "folderId": {
            "__rl": true,
            "mode": "id",
            "value": "=test-whatsapp"
          }
        },
        "options": {},
        "resource": "fileFolder"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "HEy5EuZkgPZVEa9w",
          "name": "Google Drive account (n3w.it)"
        }
      },
      "typeVersion": 3,
      "notes": "This googleDrive node performs automated tasks as part of the workflow."
    },
    {
      "id": "f1f883fb-c9d1-42e6-98c2-791ed85e959f",
      "name": "Download Files",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        360,
        -1000
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {
          "googleFileConversion": {
            "conversion": {
              "docsToFormat": "text/plain"
            }
          }
        },
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "HEy5EuZkgPZVEa9w",
          "name": "Google Drive account (n3w.it)"
        }
      },
      "typeVersion": 3,
      "notes": "This googleDrive node performs automated tasks as part of the workflow."
    },
    {
      "id": "5fd88e03-3638-4d38-8df4-246e4a5f2bda",
      "name": "Embeddings OpenAI",
      "type": "n8n-nodes-base.noOp",
      "position": [
        580,
        -800
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4zwP0MSr8zkNvvV9",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.1,
      "notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "3740a841-e272-44f9-b76d-51fb90137fd3",
      "name": "Default Data Loader",
      "type": "n8n-nodes-base.noOp",
      "position": [
        760,
        -800
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1,
      "notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."
    },
    {
      "id": "075d1038-d1fd-4527-8eda-961f20c7869a",
      "name": "Token Splitter",
      "type": "n8n-nodes-base.noOp",
      "position": [
        760,
        -600
      ],
      "parameters": {
        "chunkSize": 300,
        "chunkOverlap": 30
      },
      "typeVersion": 1,
      "notes": "This textSplitterTokenSplitter node performs automated tasks as part of the workflow."
    },
    {
      "id": "57cc8eaf-26b3-480f-ab5d-c8646519cfa3",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        120,
        -1320
      ],
      "parameters": {
        "color": 6,
        "width": 880,
        "height": 220,
        "content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "70bc0676-c0ea-4de8-8659-bfb8b0ea653f",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -100,
        -1060
      ],
      "parameters": {
        "color": 4,
        "width": 620,
        "height": 400,
        "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"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "411c4f55-ae41-49b5-a821-df1a3d8fefec",
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  "description": "Automated workflow: Build a Chatbot, Voice Agent and Phone Agent with Voiceflow, Google Calendar and RAG. This workflow integrates 18 different services: webhook, stickyNote, httpRequest, textSplitterTokenSplitter, vectorStoreQdrant. It contains 60 nodes and follows best practices for error handling and security.",
  "notes": "Excellent quality workflow: Build a Chatbot, Voice Agent and Phone Agent with Voiceflow, Google Calendar and RAG. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}