Automatisation WhatsApp avec n8n : chatbot AI pour entreprises

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        "content": "# STEP 4\n\n## RAG System\n\n\n\n\n\n\n\n\n\n\n\n\n\n* *Respond* webhook receives various POST Requests from Meta regarding WhatsApp messages (user messages + status notifications)\n* Check if the incoming JSON contains user message\n* Echo back the text message to the user. This is a custom message, not a WhatsApp Business template message\n"
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        "content": "## Important!\n### Configure the webhook nodes this way:\n* Make sure that both *Verify* and *Respond* have the same URL\n* *Verify* should have GET HTTP Method\n* *Respond* should have POST HTTP Method"
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      "parameters": {
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        "content": "# STEP 3\n\n## Create Webhook\n* Go to your [Meta for Developers App page](https://developers.facebook.com/apps/), navigate to the App settings\n* Add a **production webhook URL** as a new Callback URL\n* *Verify* webhook receives a GET Request and sends back a verification code\n* After that you can delete this\n"
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      "name": "Verify",
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      "webhookId": "f0d2e6f6-8fda-424d-b377-0bd191343c20",
      "parameters": {
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      "webhookId": "f0d2e6f6-8fda-424d-b377-0bd191343c20",
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        "conditions": {
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            "version": 2,
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            "caseSensitive": true,
            "typeValidation": "loose"
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          "conditions": [
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              "operator": {
                "type": "object",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $json.body.entry[0].changes[0].value.messages[0] }}",
              "rightValue": ""
            }
          ]
        },
        "looseTypeValidation": true
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      "typeVersion": 2.2
    },
    {
      "id": "2af633a9-f6b0-4989-9e85-abb619d2b3bb",
      "name": "Only message",
      "type": "n8n-nodes-base.whatsApp",
      "position": [
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      ],
      "parameters": {
        "textBody": "=You can only send text messages",
        "operation": "send",
        "phoneNumberId": "470271332838881",
        "requestOptions": {},
        "additionalFields": {},
        "recipientPhoneNumber": "={{ $('Respond').item.json.body.entry[0].changes[0].value.contacts[0].wa_id }}"
      },
      "credentials": {
        "whatsAppApi": {
          "id": "HDUOWQXeRXMVjo0Z",
          "name": "WhatsApp account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5235dd06-2235-4edb-904e-872848e2ed79",
      "name": "Send",
      "type": "n8n-nodes-base.whatsApp",
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        "textBody": "={{ $json.output }}",
        "operation": "send",
        "phoneNumberId": "470271332838881",
        "requestOptions": {},
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        "recipientPhoneNumber": "={{ $('Respond').item.json.body.entry[0].changes[0].value.contacts[0].wa_id }}"
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      "credentials": {
        "whatsAppApi": {
          "id": "HDUOWQXeRXMVjo0Z",
          "name": "WhatsApp account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "dafe692e-7767-4ded-966c-df812f58ae63",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
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      "parameters": {},
      "typeVersion": 1.3
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      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 6,
        "width": 880,
        "height": 220,
        "content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
      },
      "typeVersion": 1
    },
    {
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      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "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
    },
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      "parameters": {
        "width": 380,
        "height": 260,
        "content": "## Configure AI Agent\nSet System prompt and chat model. If you want you can set any tools"
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    }
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    "is Message?": {
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            "node": "Only message",
            "type": "main",
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    "Download Files": {
      "main": [
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            "node": "Qdrant Vector Store",
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    },
    "Token Splitter": {
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            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
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        ]
      ]
    },
    "Embeddings OpenAI": {
      "ai_embedding": [
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            "node": "Qdrant Vector Store",
            "type": "ai_embedding",
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          }
        ]
      ]
    },
    "OpenAI Chat Model": {
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            "type": "ai_languageModel",
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          }
        ]
      ]
    },
    "Refresh collection": {
      "main": [
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          {
            "node": "Get folder",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
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    },
    "When clicking ‘Test workflow’": {
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        [
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            "node": "Create collection",
            "type": "main",
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          },
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            "node": "Refresh collection",
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          }
        ]
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}