Workflow n8n
Automatisation Google Calendar avec n8n : gestion d'agendas intelligents
Ce workflow n8n a pour objectif de créer une automatisation efficace pour la gestion des rendez-vous via Google Calendar, tout en intégrant des agents conversationnels. Dans un contexte où la planification d'événements et la gestion des interactions clients sont cruciales, ce workflow s'adresse aux entreprises cherchant à optimiser leur communication et leur organisation. En utilisant des outils comme Voiceflow et OpenAI, il permet de répondre aux demandes des utilisateurs de manière fluide et automatisée.
- Étape 1 : le processus débute par un déclencheur Webhook qui reçoit les informations nécessaires.
- Étape 2 : les données sont ensuite envoyées à Google Calendar pour créer ou mettre à jour des événements.
- Étape 3 : plusieurs modèles de chat OpenAI sont utilisés pour traiter les requêtes des utilisateurs et fournir des réponses adaptées.
- Étape 4 : les réponses sont ensuite structurées et renvoyées via des Webhooks pour assurer une communication efficace. Ce workflow offre des bénéfices significatifs, notamment une réduction des erreurs humaines, une meilleure gestion du temps et une expérience client améliorée, ce qui se traduit par une augmentation de la satisfaction et de la fidélisation des clients.
Tags clés :automatisationGoogle Calendarn8nchatbotsgestion d'agenda
Catégorie: Webhook · Tags: automatisation, Google Calendar, n8n, chatbots, gestion d'agenda❤ 0
Workflow n8n Google Calendar, chatbots, gestion d'agenda : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Google Calendar, chatbots, gestion d'agenda : détail des nœuds
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"id": "MMDt8lGtac2oU8nI",
"meta": {
"instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
"templateCredsSetupCompleted": true
},
"name": "Build a Chatbot, Voice Agent and Phone Agent with Voiceflow, Google Calendar and RAG",
"tags": [],
"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
},
{
"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
},
{
"id": "17b9f162-c4a3-43ec-b640-a68ebc67b0c9",
"name": "OpenAI Chat Model3",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-120,
480
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "5b40db3c-6c98-4fea-9c3b-98ba7e13bc30",
"name": "Concert start date",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"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
},
{
"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
},
{
"id": "fa3e66ca-de09-496b-be14-483b33386e07",
"name": "Retrive Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
20,
1280
],
"parameters": {
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "scarperia",
"cachedResultName": "scarperia"
}
},
"credentials": {
"qdrantApi": {
"id": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account"
}
},
"typeVersion": 1
},
{
"id": "ea7be112-1949-47b7-b68b-ae2f3a7b1b71",
"name": "Embeddings OpenAI2",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
-20,
1460
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "e61ff57f-a109-41e0-87f3-522b1fa78dd6",
"name": "RAG",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
180,
1080
],
"parameters": {
"name": "company_data",
"description": "Retrive data about company knowledge from vector store"
},
"typeVersion": 1
},
{
"id": "fce158b8-73a3-42c1-baf3-9f2ae979fe15",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-20,
1080
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "e2bcfa68-3642-4e49-89cb-e08faade984c",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
340,
1300
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "2a79c66c-040b-4ca2-ad91-a0683d0d2996",
"name": "Retrive Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"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
},
{
"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
},
{
"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
},
{
"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
},
{
"id": "5311be28-2878-41ce-a70f-4e4aebcea0f9",
"name": "Webhook tracking response",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
700,
-140
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "84d8558f-e6fd-400e-ae2e-0b5fec309561",
"name": "API URL Tracking",
"type": "n8n-nodes-base.httpRequest",
"position": [
20,
-140
],
"parameters": {
"url": "URL_TRACKING",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "Order number",
"value": "={{ $json.Order_number }}"
},
{
"name": "Email",
"value": "={{ $json.Order_number }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "32eb8645-c56e-4db4-8870-f28161cba048",
"name": "Webhook calendar response",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
700,
280
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "72e7f085-d1e7-4967-aaa5-161ff0e83c06",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"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
},
{
"id": "3822b875-73f0-4700-8fc4-e4d3285f593a",
"name": "Webhook RAG response",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
700,
860
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"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](https://www.voiceflow.com/) \n- Create the workflow as shown in the following image\n\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\n\n\nPS. You can import a Twilio number to assign it to your agent for becoming a Phone Agent\n\n\n"
},
"typeVersion": 1
},
{
"id": "589165c8-920d-40e3-8e28-50e94dd37555",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-380,
-1120
],
"parameters": {},
"typeVersion": 1
},
{
"id": "74c314bb-c445-42f8-8f9d-2ab646486044",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
600,
-1000
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "="
}
},
"credentials": {
"qdrantApi": {
"id": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account"
}
},
"typeVersion": 1
},
{
"id": "01c05ac3-ac5c-4f1a-a756-db8de4a30e56",
"name": "Create collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-80,
-1260
],
"parameters": {
"url": "https://QDRANTURL/collections/COLLECTION",
"method": "POST",
"options": {},
"jsonBody": "{\n \"filter\": {}\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "qhny6r5ql9wwotpn",
"name": "Qdrant API (Hetzner)"
}
},
"typeVersion": 4.2
},
{
"id": "2d7adb45-aae7-4617-b1d1-5a23f3eb3b20",
"name": "Refresh collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-80,
-1000
],
"parameters": {
"url": "https://QDRANTURL/collections/COLLECTION/points/delete",
"method": "POST",
"options": {},
"jsonBody": "{\n \"filter\": {}\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "qhny6r5ql9wwotpn",
"name": "Qdrant API (Hetzner)"
}
},
"typeVersion": 4.2
},
{
"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": "https://drive.google.com/drive/my-drive",
"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
},
{
"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
},
{
"id": "5fd88e03-3638-4d38-8df4-246e4a5f2bda",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
580,
-800
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.1
},
{
"id": "3740a841-e272-44f9-b76d-51fb90137fd3",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
760,
-800
],
"parameters": {
"options": {},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "075d1038-d1fd-4527-8eda-961f20c7869a",
"name": "Token Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
"position": [
760,
-600
],
"parameters": {
"chunkSize": 300,
"chunkOverlap": 30
},
"typeVersion": 1
},
{
"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
},
{
"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
},
{
"id": "411c4f55-ae41-49b5-a821-df1a3d8fefec",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
660
],
"parameters": {
"color": 5,
"width": 1220,
"content": "# STEP 5\nIf required retrive the informations by RAG system"
},
"typeVersion": 1
},
{
"id": "49d1fe78-4c38-4508-84c3-3a571ad9a2b0",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
-360
],
"parameters": {
"color": 5,
"width": 1220,
"content": "# STEP 3\nIf required retrive the informations by Order system\n- Set your API URL Tracking service"
},
"typeVersion": 1
},
{
"id": "23d42754-0126-4b3a-91b0-b489ef83b36c",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
80
],
"parameters": {
"color": 5,
"width": 1220,
"content": "# STEP 4\nIf required retrive the informations by Appointment system"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "20a19983-4edb-4179-a2d2-e2f53d0daf85",
"connections": {
"RAG": {
"ai_tool": [
[
{
"node": "Retrive Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"n8n_rag": {
"main": [
[
{
"node": "Retrive Agent",
"type": "main",
"index": 0
}
]
]
},
"n8n_order": {
"main": [
[
{
"node": "API URL Tracking",
"type": "main",
"index": 0
}
]
]
},
"Get folder": {
"main": [
[
{
"node": "Download Files",
"type": "main",
"index": 0
}
]
]
},
"Retrive Agent": {
"main": [
[
{
"node": "Webhook RAG response",
"type": "main",
"index": 0
}
]
]
},
"Download Files": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Token Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Google Calendar": {
"main": [
[
{
"node": "Calendar response",
"type": "main",
"index": 0
}
]
]
},
"n8n_appointment": {
"main": [
[
{
"node": "Concert start date",
"type": "main",
"index": 0
}
]
]
},
"API URL Tracking": {
"main": [
[
{
"node": "Tracking response",
"type": "main",
"index": 0
}
]
]
},
"Calendar response": {
"main": [
[
{
"node": "Webhook calendar response",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Tracking response": {
"main": [
[
{
"node": "Webhook tracking response",
"type": "main",
"index": 0
}
]
]
},
"Concert start date": {
"main": [
[
{
"node": "Google Calendar",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI2": {
"ai_embedding": [
[
{
"node": "Retrive Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "RAG",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Retrive Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model3": {
"ai_languageModel": [
[
{
"node": "Concert start date",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Refresh collection": {
"main": [
[
{
"node": "Get folder",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Concert start date",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Retrive Qdrant Vector Store": {
"ai_vectorStore": [
[
{
"node": "RAG",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Create collection",
"type": "main",
"index": 0
},
{
"node": "Refresh collection",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Google Calendar, chatbots, gestion d'agenda : pour qui est ce workflow ?
Ce workflow s'adresse aux entreprises de taille moyenne à grande, aux équipes de support client et aux professionnels de la gestion d'événements. Il est conçu pour ceux qui souhaitent intégrer des solutions d'automatisation avancées sans nécessiter de compétences techniques approfondies.
Workflow n8n Google Calendar, chatbots, gestion d'agenda : problème résolu
Ce workflow résout le problème de la gestion manuelle des rendez-vous, qui peut être source de confusion et d'erreurs. En automatisant le processus de planification et de réponse aux demandes des utilisateurs, il permet de gagner un temps précieux et d'améliorer l'efficacité opérationnelle. Les utilisateurs bénéficient d'une expérience fluide et rapide, réduisant ainsi le risque de rendez-vous manqués ou mal planifiés.
Workflow n8n Google Calendar, chatbots, gestion d'agenda : étapes du workflow
Étape 1 : le workflow commence par un déclencheur Webhook qui reçoit les informations des utilisateurs.
- Étape 1 : les données sont envoyées à Google Calendar pour créer ou mettre à jour des événements.
- Étape 2 : plusieurs modèles de chat OpenAI traitent les requêtes des utilisateurs, fournissant des réponses personnalisées.
- Étape 3 : les réponses sont structurées et renvoyées via des Webhooks pour garantir une communication efficace.
- Étape 4 : les données sont également stockées et gérées à l'aide de Qdrant pour un accès rapide et efficace.
Workflow n8n Google Calendar, chatbots, gestion d'agenda : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier l'URL du Webhook pour l'adapter à votre système. Il est également possible de changer les paramètres de Google Calendar, comme le calendrier cible ou les champs supplémentaires à inclure. Si vous souhaitez intégrer d'autres outils, vous pouvez ajouter des nœuds supplémentaires pour les API correspondantes. Assurez-vous de sécuriser le flux en configurant les autorisations nécessaires pour chaque service utilisé. Enfin, surveillez les performances du workflow en utilisant des outils d'analyse intégrés.