La réussite des audits qualité et conformité repose sur l’anticipation et la préparation des équipes. L’automatisation des relances permet de planifier chaque étape, de centraliser les documents requis, de notifier les responsables et de suivre la résolution des écarts. Ce dispositif sécurise la conformité, valorise la démarche qualité et prépare efficacement aux audits externes.
{
"id": "29P4X9mTSmplnjlJ",
"meta": {
"instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
"templateCredsSetupCompleted": true
},
"name": "AI Phone Agent with RetellAI",
"tags": [],
"nodes": [
{
"id": "55ef0229-0c33-4821-926d-9aabf4f6c812",
"name": "Filter",
"type": "n8n-nodes-base.filter",
"position": [
-100,
120
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "cce162e9-50f7-41dc-ae45-763a53a835af",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.event }}",
"rightValue": "call_ended"
},
{
"id": "b0cec556-f565-4ade-90c9-1cfd74ed238b",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.event }}",
"rightValue": "call_analyzed"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "1873c991-0ac0-40c4-b027-e48a9f2582c6",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
320,
320
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "d05a7ec8-2b27-474b-b618-f85da8cf0780",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
640,
300
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{nt"type": "object",nt"properties": {ntt"first_name": {nttt"type": "string",n "description":""ntt},ntt"last_name": {nttt"type": "string",n "description":""ntt},n "email": {nttt"type": "string",n "description":""ntt},n "telephone": {nttt"type": "string",n "description":""ntt},n "summary": {nttt"type": "string",n "description":""ntt},n "date": {nttt"type": "date",n "description":""ntt},n "date": {nttt"type": "date",n "description":""ntt},n "dateTime": {nttt"type": "date",n "description":""n }nt}n}"
},
"typeVersion": 1.2
},
{
"id": "aef9edfc-ff3b-42b6-9839-562a5376135d",
"name": "n8n_rag_function",
"type": "n8n-nodes-base.webhook",
"position": [
-360,
720
],
"webhookId": "edb1e894-1210-4902-a34f-a014bbdad8d8",
"parameters": {
"path": "edb1e894-1210-4902-a34f-a014bbdad8d8",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "247567b1-b45c-433f-86f8-43cfe210a532",
"name": "Retrive Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
20,
1140
],
"parameters": {
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "scarperia",
"cachedResultName": "scarperia"
}
},
"credentials": {
"qdrantApi": {
"id": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account"
}
},
"typeVersion": 1
},
{
"id": "c8153076-8ae2-4b34-893d-ef75233c2a74",
"name": "Embeddings OpenAI2",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
-20,
1320
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "0acec55e-cb6a-4220-a491-aa29eccc692a",
"name": "RAG",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
180,
940
],
"parameters": {
"name": "company_data",
"description": "Retrive data about company knowledge from vector store"
},
"typeVersion": 1
},
{
"id": "b7a86b9f-1620-4fc7-973f-e6e169e4ecbe",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-20,
940
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "64354f1c-388d-47b7-be4e-a67a6feeb0ed",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
620,
720
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "baa32a03-3295-434a-afca-8f7cadece512",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
340,
1160
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "1d5c9eb2-b468-4dd2-aa77-d33924fdbb41",
"name": "Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
820,
120
],
"webhookId": "44d73068-54dc-458b-a6fb-4b4d10ebed34",
"parameters": {
"text": "=Call summary:n{{ $json.output.summary }}nnFirst name: {{ $json.output.first_name }}nLast name: {{ $json.output.last_name }}nEmail: {{ $json.output.email }}nTelephone: {{ $json.output.telephone }}nSummary: {{ $json.output.summary }}nDate: {{ $json.output.date }}nDateTiem: {{ $json.output.dateTime }}",
"chatId": "CHAT_ID",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "rQ5q95W7uKesMDx4",
"name": "Telegram account Fastewb"
}
},
"typeVersion": 1.2
},
{
"id": "5ca696a0-b1d2-45f5-93d6-066654a0c2f6",
"name": "Google Calendar",
"type": "n8n-nodes-base.googleCalendar",
"position": [
1860,
100
],
"parameters": {
"end": "={{ $json.output.end }}",
"start": "={{ $json.output.start }}",
"calendar": {
"__rl": true,
"mode": "list",
"value": "info@n3w.it",
"cachedResultName": "info@n3w.it"
},
"additionalFields": {
"summary": "Event title",
"description": "Event description"
}
},
"credentials": {
"googleCalendarOAuth2Api": {
"id": "8RFK3u13g2PJEGa9",
"name": "Google Calendar account"
}
},
"typeVersion": 1.3
},
{
"id": "57fedd6a-94a4-4f58-8179-9fd8ae1d0006",
"name": "OpenAI Chat Model3",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1340,
320
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "f3f8a781-eb03-4e99-8512-b926249aabba",
"name": "Structured Output Parser1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1640,
320
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{nt"type": "object",nt"properties": {ntt"start": {nttt"type": "string"ntt},ntt"end": {nttt"type": "string"ntt}nt}n}"
},
"typeVersion": 1.2
},
{
"id": "f3c416a2-6b42-43cc-aa66-e7d146c1b325",
"name": "n8n_call",
"type": "n8n-nodes-base.webhook",
"position": [
-340,
120
],
"webhookId": "b352dd49-d3b3-4e0a-a781-17137f7199c8",
"parameters": {
"path": "b352dd49-d3b3-4e0a-a781-17137f7199c8",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "2862b10c-77d7-4555-b9ec-86c9c4b9fe7b",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1080,
-1140
],
"parameters": {
"width": 1140,
"height": 920,
"content": "# STEP 3 - RETELL AInn- Register on [Retell AI](https://retellai.com) (10$ FREE credits)n- Create an Agent an set "Voice & Language" and add your system promptn- In Webhook settings add the "Agent Level Webhook URL" with the n8n webhook node url called "n8n_call"n- Buy a new phone number with your FREE credits by Twilio Provider and connect it to the created agentn- Enter the previously created agency and create the flow as shown in the following imagenn- Aggiungere 2 funzioni (una per RAG e una per il Booking) e inserire l'url apposito ricavato dai webhook di n8n "n8n_rag_function" e "n8n_check_available"nn"
},
"typeVersion": 1
},
{
"id": "98de797e-56d8-42b4-85a5-245ae7d086db",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
-100
],
"parameters": {
"color": 5,
"width": 1220,
"content": "# STEP 4nIntercept the "end call" event and get the full call transcriptn- Add your CHAT_ID in Telegram node"
},
"typeVersion": 1
},
{
"id": "ccf11ce4-3bc4-46bd-a71e-12e59d7a2504",
"name": "n8n_check_available",
"type": "n8n-nodes-base.webhook",
"position": [
1120,
100
],
"webhookId": "4dcd68b1-91d3-40bc-8aa6-c681126752b2",
"parameters": {
"path": "4dcd68b1-91d3-40bc-8aa6-c681126752b2",
"options": {},
"httpMethod": "POST",
"responseMode": "lastNode"
},
"typeVersion": 2
},
{
"id": "ddc50779-c0cf-4862-87b9-e187d1ab19a5",
"name": "When clicking u2018Test workflowu2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-400,
-940
],
"parameters": {},
"typeVersion": 1
},
{
"id": "fd6f36d4-c8b3-4643-8df9-a775d94946d9",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
580,
-820
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "="
}
},
"credentials": {
"qdrantApi": {
"id": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account"
}
},
"typeVersion": 1
},
{
"id": "3c4f9805-57e7-4662-ab12-8bedc5e5a815",
"name": "Create collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-100,
-1080
],
"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": "b5fdbd4d-0cc9-4b5c-8aa8-b7fe6fd0f3b4",
"name": "Refresh collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-100,
-820
],
"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": "c2f5ded2-adcb-4c50-95e6-94e54a7c2116",
"name": "Get folder",
"type": "n8n-nodes-base.googleDrive",
"position": [
120,
-820
],
"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": "640ede03-46fc-44a3-a9e8-29118036d64f",
"name": "Download Files",
"type": "n8n-nodes-base.googleDrive",
"position": [
340,
-820
],
"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": "ff40b36c-3092-43fc-a001-9683b0e33460",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
560,
-620
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4zwP0MSr8zkNvvV9",
"name": "OpenAi account"
}
},
"typeVersion": 1.1
},
{
"id": "cfc6a14a-1445-4d38-8fbb-3dc3c7bfff8b",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
740,
-620
],
"parameters": {
"options": {},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "38a49484-82f0-4520-ba03-47edef117cd8",
"name": "Token Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
"position": [
700,
-460
],
"parameters": {
"chunkSize": 300,
"chunkOverlap": 30
},
"typeVersion": 1
},
{
"id": "62726443-9c09-4ee7-becb-789982bc2e9b",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
100,
-1140
],
"parameters": {
"color": 6,
"width": 880,
"height": 220,
"content": "# STEP 1nn## Create Qdrant CollectionnChange:n- QDRANTURLn- COLLECTION"
},
"typeVersion": 1
},
{
"id": "5f52d12f-6bbe-468c-b23f-356e0675b15a",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-120,
-880
],
"parameters": {
"color": 4,
"width": 620,
"height": 400,
"content": "# STEP 2nnnnnnnnnnnnn## Documents vectorization with Qdrant and Google DrivenChange:n- QDRANTURLn- COLLECTION"
},
"typeVersion": 1
},
{
"id": "08525507-990d-43f3-b2d3-6d73bc2aed84",
"name": "Set call fields",
"type": "n8n-nodes-base.set",
"position": [
140,
120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "15b079b9-e36d-4c9b-8ca4-30bf858ce75b",
"name": "Transcript",
"type": "string",
"value": "={{ $json.body.call.transcript }}"
},
{
"id": "f1cbced3-bd9c-4d8f-bd81-060406ff27b0",
"name": "Duration (sec)",
"type": "string",
"value": "={{ $('n8n_call').item.json.body.call.call_cost.total_duration_seconds }}"
},
{
"id": "829ee367-1f5e-4d66-9818-8a27344d7e79",
"name": "From",
"type": "string",
"value": "={{ $('n8n_call').item.json.body.call.from_number }}"
},
{
"id": "38e9e856-d87d-4c23-8486-4ebbac2da595",
"name": "To",
"type": "string",
"value": "={{ $('n8n_call').item.json.body.call.to_number }}"
},
{
"id": "4209d6d3-4881-4296-a1db-fff0c14addda",
"name": "Cost ",
"type": "string",
"value": "={{ $('n8n_call').item.json.body.call.call_cost.combined_cost }}"
},
{
"id": "3c871d3b-95b5-493a-b3fe-3c9bf06a0d62",
"name": "Telephony Identifier",
"type": "string",
"value": "={{ $('n8n_call').item.json.body.call.telephony_identifier.twilio_call_sid }}"
},
{
"id": "0a926748-8aff-4dd7-a252-516f3339210a",
"name": "Disconnection reason",
"type": "string",
"value": "={{ $json.body.call.disconnection_reason }}"
},
{
"id": "9c88eafc-4370-47ad-ad98-d14767c137d0",
"name": "Recording url",
"type": "string",
"value": "={{ $json.body.call.recording_url }}"
},
{
"id": "a737a3bd-c871-4273-85b8-8e423bf7c443",
"name": "Public log url",
"type": "string",
"value": "={{ $json.body.call.public_log_url }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "db21e42c-ff87-45ad-a228-77ce4c9c6b0c",
"name": "Extract key points",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
400,
120
],
"parameters": {
"text": "=To: {{ $json.To }}nnComplete transcript:n{{ $json.Transcript }} ",
"messages": {
"messageValues": [
{
"message": "=You are a specialized AI assistant responsible for analyzing complete voice conversation transcripts. Your task is to create concise summaries that extract the essential information from these conversations.nnInput: You will receive the complete transcript of a voice conversation between two or more participants.nnTask:n1. Analyze the entire conversation transcript carefully.n2. Identify and extract the most important key points discussed.n3. Create a clear, structured summary that captures the essential information.n4. Highlight any decisions made, action items agreed upon, or critical information shared.n5. Maintain objectivity in your summary, avoiding interpretation or judgment.nnOutput format:n- Begin with a brief overview of the conversation (1-2 sentences)n- List the key points in bullet formatn- Include a separate "Action Items" section if any tasks or follow-ups were mentionedn- Keep your summary concise while ensuring all important information is capturednnRemember that accuracy is paramount. Focus on extracting what was explicitly stated rather than inferring unstated meanings. If something is unclear in the transcript, note it as such rather than guessing."
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.6
},
{
"id": "0c6c8765-d28f-4398-aa0e-8f65879cc740",
"name": "Concert start date",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1420,
100
],
"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.nnHere is the start date:n{{ $json.body.args.date }}",
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.6
},
{
"id": "0b33c34a-f61c-4aab-8315-600da2da3281",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
-100
],
"parameters": {
"color": 5,
"width": 1100,
"content": "# STEP 5nIf required, create the event in the calendarn- Enter the title and description of the event"
},
"typeVersion": 1
},
{
"id": "138555e5-b62b-4f59-b223-c73611e5dece",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
520
],
"parameters": {
"color": 5,
"width": 1220,
"content": "# STEP 6nIf required retrive the informations by RAG system"
},
"typeVersion": 1
},
{
"id": "65d998a1-b31b-4463-be9b-0b27448f9026",
"name": "Retrive Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
60,
720
],
"parameters": {
"text": "={{ $json.body.args.query }}",
"agent": "conversationalAgent",
"options": {
"systemMessage": "You are an AI-powered assistant for an electronics store. Answer in Italian. 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.nn**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.nn2. **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 storeu2019s support team for further assistance.nn3. **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 storeu2019s systems.nn4. **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.nn5. **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.nn**Example Interactions**:n1. **Product Inquiry**:n - Customer: "Whatu2019s 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?"nn2. **Technical Support**:n - Customer: "My wireless router isnu2019t 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 routeru2019s 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?"nn3. **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. Youu2019ll receive a return label and instructions. If you need further assistance, our support team is available at support@electronicsstore.com."nn**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": "a98a4ed7-4ebc-4d40-8aaa-70de751bc15f",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
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],
"parameters": {
"color": 3,
"width": 2580,
"height": 360,
"content": "# Create your first AI Phone AgentnnBuild, test, deploy, and monitor AI phone agents. Retell is a comprehensive platform for building, testing, deploying, and monitoring reliable AI phone agents.nConversation flow agent allows you to create multiple nodes to handle different scenarios in the conversation. It provides more fine-grained control over the conversation flow compared to single / multi prompt agent, which unlocks the ability to handle more complex scenarios.nnThis Workflow simulates an AI-powered phone agent with two main functions:nnud83dudcc5 Appointment Booking u2013 It can schedule appointments directly into Google Calendar.nnud83eudde0 RAG-based Information Retrieval u2013 It provides answers using a Retrieval-Augmented Generation (RAG) system. For example, it can respond to questions such as store opening hours, return policies, or product details.nnThe guide also explains how to purchase a dedicated phone number (with a +1 prefix) and link it to the AI agent. This setup is cost-effective, as it uses a free $10 credit to operate without additional charges in the beginning."
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {
"timezone": "Europe/Rome",
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1"
},
"versionId": "d78ac941-900b-49f5-a9a8-158effbd2479",
"connections": {
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{
"node": "Retrive Agent",
"type": "ai_tool",
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},
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{
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]
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},
"n8n_call": {
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},
"Get folder": {
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{
"node": "Download Files",
"type": "main",
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]
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},
"Retrive Agent": {
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{
"node": "Respond to Webhook",
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}
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},
"Download Files": {
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{
"node": "Qdrant Vector Store",
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}
]
]
},
"Token Splitter": {
"ai_textSplitter": [
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{
"node": "Default Data Loader",
"type": "ai_textSplitter",
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]
},
"Google Calendar": {
"main": [
[]
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},
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{
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},
"n8n_rag_function": {
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},
"Embeddings OpenAI": {
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]
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},
"OpenAI Chat Model": {
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{
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},
"Concert start date": {
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},
"Embeddings OpenAI2": {
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},
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{
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},
"OpenAI Chat Model1": {
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},
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},
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},
"Refresh collection": {
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},
"Default Data Loader": {
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},
"n8n_check_available": {
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},
"Structured Output Parser": {
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{
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]
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},
"Structured Output Parser1": {
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{
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},
"Retrive Qdrant Vector Store": {
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},
"When clicking u2018Test workflowu2019": {
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{
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{
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]
}
}
}