{
"workflow": {
"id": 2846,
"name": "AI voice chatbot with ElevenLabs & OpenAI for customer service and restaurants",
"views": 65455,
"recentViews": 6,
"totalViews": 65455,
"createdAt": "2025-02-04T13:13:55.888Z",
"description": "The \"Voice RAG Chatbot with ElevenLabs and OpenAI\" workflow in n8n is designed to create an interactive voice-based chatbot system that leverages both text and voice inputs for providing information. Ideal for shops, commercial activities and restaurants\n\n### How it works:\n\nHere's how it operates:\n\n1. **Webhook Activation**: The process begins when a user interacts with the voice agent set up on [ElevenLabs](https://try.elevenlabs.io/ahkbf00hocnu), triggering a webhook in n8n. This webhook sends a question from the user to the AI Agent node.\n2. **AI Agent Processing**: Upon receiving the query, the AI Agent node processes the input using predefined prompts and tools. It extracts relevant information from the knowledge base stored within the Qdrant vector database.\n3. **Knowledge Base Retrieval**: The Vector Store Tool node interfaces with the Qdrant Vector Store to retrieve pertinent documents or data segments matching the user’s query.\n4. **Text Generation**: Using the retrieved information, the OpenAI Chat Model generates a coherent response tailored to the user’s question.\n5. **Response Delivery**: The generated response is sent back through another webhook to ElevenLabs, where it is converted into speech and delivered audibly to the user.\n6. **Continuous Interaction**: For ongoing conversations, the Window Buffer Memory ensures context retention by maintaining a history of interactions, enhancing the conversational flow.\n\n### Set up steps:\n\nTo configure this workflow effectively, follow these detailed setup instructions:\n\n1. **ElevenLabs Agent Creation**:\n\t- Create a FREE account on [ElevenLabs](https://try.elevenlabs.io/ahkbf00hocnu)\n - Begin by creating an agent on ElevenLabs (e.g., named 'test_n8n').\n - Customize the first message and define the system prompt specific to your use case, such as portraying a character like a waiter at \"Pizzeria da Michele\".\n - Add a Webhook tool labeled 'test_chatbot_elevenlabs' configured to receive questions via POST requests.\n\n2. **Qdrant Collection Initialization**:\n - Utilize the HTTP Request nodes ('Create collection' and 'Refresh collection') to initialize and clear existing collections in Qdrant. Ensure you update placeholders `QDRANTURL` and `COLLECTION` accordingly.\n\n3. **Document Vectorization**:\n - Use Google Drive integration to fetch documents from a designated folder. These documents are then downloaded and processed for embedding.\n - Employ the Embeddings OpenAI node to generate embeddings for the downloaded files before storing them into Qdrant via the Qdrant Vector Store node.\n\n4. **AI Agent Configuration**:\n - Define the system prompt for the AI Agent node which guides its behavior and responses based on the nature of queries expected (e.g., product details, troubleshooting tips).\n - Link necessary models and tools including OpenAI language models and memory buffers to enhance interaction quality.\n\n5. **Testing Workflow**:\n - Execute test runs of the entire workflow by clicking 'Test workflow' in n8n alongside initiating tests on the ElevenLabs side to confirm all components interact seamlessly.\n - Monitor logs and outputs closely during testing phases to ensure accurate data flow between systems.\n\n6. **Integration with Website**:\n - Finally, integrate the chatbot widget onto your business website replacing placeholder AGENT_ID with the actual identifier created earlier on ElevenLabs.\n\nBy adhering to these comprehensive guidelines, users can successfully deploy a sophisticated voice-driven chatbot capable of delivering precise answers utilizing advanced retrieval-augmented generation techniques powered by OpenAI and ElevenLabs technologies.\n\n----\n### **Need help customizing?** \n[Contact me](mailto:info@n3w.it) for consulting and support or add me on [Linkedin](https://www.linkedin.com/in/davideboizza/). ",
"workflow": {
"id": "ibiHg6umCqvcTF4g",
"meta": {
"instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
"templateCredsSetupCompleted": true
},
"name": "Voice RAG Chatbot with ElevenLabs and OpenAI",
"tags": [],
"nodes": [
{
"id": "5898da57-38b0-4d29-af25-fe029cda7c4a",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-180,
800
],
"parameters": {
"text": "={{ $json.body.question }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "81bbedb6-5a07-4977-a68f-2bdc75b17aba",
"name": "Vector Store Tool",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
20,
1040
],
"parameters": {
"name": "company",
"description": "Risponde alle domande relative a ciò che ti viene chiesto"
},
"typeVersion": 1
},
{
"id": "fd021f6c-248d-41f4-a4f9-651e70692327",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
-140,
1300
],
"parameters": {
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "=COLLECTION"
}
},
"credentials": {
"qdrantApi": {
"id": "credential-id",
"name": "qdrantApi Credential"
}
},
"typeVersion": 1
},
{
"id": "84aca7bb-4812-498f-b319-88831e4ca412",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
-140,
1460
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "credential-id",
"name": "openAiApi Credential"
}
},
"typeVersion": 1.1
},
{
"id": "82e430db-2ad7-427d-bcf9-6aa226253d18",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-760,
520
],
"parameters": {
"color": 5,
"width": 1400,
"height": 240,
"content": "# STEP 4\n\n## RAG System\n\nClick on \"test workflow\" on n8n and \"Test AI agent\" on ElevenLabs. If everything is configured correctly, when you ask a question to the agent, the webhook on n8n is activated with the \"question\" field in the body filled with the question asked to the voice agent.\n\nThe AI Agent will extract the information from the vector database, send it to the model to create the response which will be sent via the response webhook to ElevenLabs which will transform it into voice"
},
"typeVersion": 1
},
{
"id": "6a19e9fa-50fa-4d51-ba41-d03c999e4649",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-780,
-880
],
"parameters": {
"color": 3,
"width": 1420,
"height": 360,
"content": "# STEP 1\n\n## Create an Agent on ElevenLabs \n- Create an agent on ElevenLabs (eg. test_n8n)\n- Add \"First message\" (eg. Hi, Can I help you?)\n- Add the \"System Prompt\" message... eg:\n'You are the waiter of \"Pizzeria da Michele\" in Verona. If you are asked a question, use the tool \"test_chatbot_elevenlabs\". When you receive the answer from \"test_chatbot_elevenlabs\" answer the user clearly and precisely.'\n- In Tools add a Webhook called eg. \"test_chatbot_elevenlabs\" and add the following description:\n'You are the waiter. Answer the questions asked and store them in the question field.'\n- Add the n8n webhook URL (method POST)\n- Enable \"Body Parameters\" and insert in the description \"Ask the user the question to ask the place.\", then in the \"Properties\" add a data type string called \"question\", value type \"LLM Prompt\" and description \"user question\""
},
"typeVersion": 1
},
{
"id": "ec053ee7-3a4a-4697-a08c-5645810d23f0",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-740,
-200
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3e71e40c-a5cc-40cf-a159-aeedc97c47d1",
"name": "Create collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-440,
-340
],
"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": "credential-id",
"name": "httpHeaderAuth Credential"
}
},
"typeVersion": 4.2
},
{
"id": "240283fc-50ec-475c-bd24-e6d0a367c10c",
"name": "Refresh collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-440,
-80
],
"parameters": {
"url": "https:/YOUR_AWS_SECRET_KEY_HERE/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": "credential-id",
"name": "httpHeaderAuth Credential"
}
},
"typeVersion": 4.2
},
{
"id": "7d10fda0-c6ab-4bf5-b73e-b93a84937eff",
"name": "Get folder",
"type": "n8n-nodes-base.googleDrive",
"position": [
-220,
-80
],
"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": "credential-id",
"name": "googleDriveOAuth2Api Credential"
}
},
"typeVersion": 3
},
{
"id": "c5761ad2-e66f-4d65-b653-0e89ea017f17",
"name": "Download Files",
"type": "n8n-nodes-base.googleDrive",
"position": [
0,
-80
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {
"googleFileConversion": {
"conversion": {
"docsToFormat": "text/plain"
}
}
},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "credential-id",
"name": "googleDriveOAuth2Api Credential"
}
},
"typeVersion": 3
},
{
"id": "1f031a11-8ef3-4392-a7db-9bca00840b8f",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
380,
120
],
"parameters": {
"options": {},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "7f614392-7bc7-408c-8108-f289a81d5cf6",
"name": "Token Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
"position": [
360,
280
],
"parameters": {
"chunkSize": 300,
"chunkOverlap": 30
},
"typeVersion": 1
},
{
"id": "648c5b3d-37a8-4a89-b88c-38e1863f09dc",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-400
],
"parameters": {
"color": 6,
"width": 880,
"height": 220,
"content": "# STEP 2\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
},
"typeVersion": 1
},
{
"id": "a6c50f3c-3c73-464e-9bdc-49de96401c1b",
"name": "Qdrant Vector Store1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
240,
-80
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "=COLLECTION"
}
},
"credentials": {
"qdrantApi": {
"id": "credential-id",
"name": "qdrantApi Credential"
}
},
"typeVersion": 1
},
{
"id": "7e19ac49-4d90-4258-bd44-7ca4ffa0128a",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
220,
120
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "credential-id",
"name": "openAiApi Credential"
}
},
"typeVersion": 1.1
},
{
"id": "bfa104a2-1f9c-4200-ae7b-4659894c1e6f",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-460,
-140
],
"parameters": {
"color": 4,
"width": 620,
"height": 400,
"content": "# STEP 3\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": "a148ffcf-335f-455d-8509-d98c711ed740",
"name": "Respond to ElevenLabs",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
380,
800
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "5d19f73a-b8e8-4e75-8f67-836180597572",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-300,
1040
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "credential-id",
"name": "openAiApi Credential"
}
},
"typeVersion": 1
},
{
"id": "802b76e1-3f3e-490c-9e3b-65dc5b28d906",
"name": "Listen",
"type": "n8n-nodes-base.webhook",
"position": [
-700,
800
],
"webhookId": "e9f611eb-a8dd-4520-8d24-9f36deaca528",
"parameters": {
"path": "test_voice_message_elevenlabs",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "bdc55a38-1d4b-48fe-bbd8-29bf1afd954a",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-140,
1040
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "2d5dd8cb-81eb-41bc-af53-b894e69e530c",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
200,
1320
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "credential-id",
"name": "openAiApi Credential"
}
},
"typeVersion": 1
},
{
"id": "92d04432-1dbb-4d79-9edc-42378aee1c53",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-760,
1620
],
"parameters": {
"color": 7,
"width": 1400,
"height": 240,
"content": "# STEP 5\n\n## Add Widget\n\nAdd the widget to your business website by replacing AGENT_ID with the agent id you created on ElevenLabs\n\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "6738abfe-e626-488d-a00b-81021cb04aaf",
"connections": {
"Listen": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Respond to ElevenLabs",
"type": "main",
"index": 0
}
]
]
},
"Get folder": {
"main": [
[
{
"node": "Download Files",
"type": "main",
"index": 0
}
]
]
},
"Download Files": {
"main": [
[
{
"node": "Qdrant Vector Store1",
"type": "main",
"index": 0
}
]
]
},
"Token Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Vector Store Tool",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Vector Store Tool": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Refresh collection": {
"main": [
[
{
"node": "Get folder",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store1",
"type": "ai_document",
"index": 0
}
]
]
},
"Qdrant Vector Store": {
"ai_vectorStore": [
[
{
"node": "Vector Store Tool",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Create collection",
"type": "main",
"index": 0
},
{
"node": "Refresh collection",
"type": "main",
"index": 0
}
]
]
}
}
},
"lastUpdatedBy": 29,
"workflowInfo": {
"nodeCount": 23,
"nodeTypes": {
"n8n-nodes-base.webhook": {
"count": 1
},
"n8n-nodes-base.stickyNote": {
"count": 5
},
"n8n-nodes-base.googleDrive": {
"count": 2
},
"n8n-nodes-base.httpRequest": {
"count": 2
},
"n8n-nodes-base.manualTrigger": {
"count": 1
},
"@n8n/n8n-nodes-langchain.agent": {
"count": 1
},
"n8n-nodes-base.respondToWebhook": {
"count": 1
},
"@n8n/n8n-nodes-langchain.lmChatOpenAi": {
"count": 2
},
"@n8n/n8n-nodes-langchain.toolVectorStore": {
"count": 1
},
"@n8n/n8n-nodes-langchain.embeddingsOpenAi": {
"count": 2
},
"@n8n/n8n-nodes-langchain.vectorStoreQdrant": {
"count": 2
},
"@n8n/n8n-nodes-langchain.memoryBufferWindow": {
"count": 1
},
"@n8n/n8n-nodes-langchain.documentDefaultDataLoader": {
"count": 1
},
"@n8n/n8n-nodes-langchain.textSplitterTokenSplitter": {
"count": 1
}
}
},
"status": "published",
"user": {
"name": "Davide",
"username": "n3witalia",
"bio": "Full-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza",
"verified": true,
"links": [
"https://n3w.it"
],
"avatar": "https://gravatar.com/avatar/d41b8a0aa81139243509c58870f5b4be292824a507ab57d10ed066d8628ed8da?r=pg&d=retro&size=200"
},
"nodes": [
{
"id": 19,
"icon": "file:httprequest.svg",
"name": "n8n-nodes-base.httpRequest",
"codex": {
"data": {
"alias": [
"API",
"Request",
"URL",
"Build",
"cURL"
],
"resources": {
"generic": [
{
"url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
"icon": "☀️",
"label": "2021: The Year to Automate the New You with n8n"
},
{
"url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
"icon": "🧬",
"label": "Why business process automation with n8n can change your daily life"
},
{
"url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/",
"icon": "📈",
"label": "Automatically pulling and visualizing data with n8n"
},
{
"url": "https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/",
"icon": "✍️",
"label": "Learn how to automatically cross-post your content with n8n"
},
{
"url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
"icon": "🧾",
"label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
},
{
"url": "https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/",
"icon": "🛳",
"label": "Running n8n on ships: An interview with Maranics"
},
{
"url": "https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/",
"icon": " 🪢",
"label": "What are APIs and how to use them with no code"
},
{
"url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
"icon": "⚡️",
"label": "5 tasks you can automate with the new Notion API "
},
{
"url": "https://n8n.io/blog/world-poetry-day-workflow/",
"icon": "📜",
"label": "Celebrating World Poetry Day with a daily poem in Telegram"
},
{
"url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
"icon": "💡",
"label": "15 Google apps you can combine and automate to increase productivity"
},
{
"url": "https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/",
"icon": "🎨",
"label": "Automate Designs with Bannerbear and n8n"
},
{
"url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
"icon": " 🕸️",
"label": "How uProc scraped a multi-page website with a low-code workflow"
},
{
"url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/",
"icon": "📱",
"label": "Building an expense tracking app in 10 minutes"
},
{
"url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
"icon": "🤖",
"label": "5 workflow automations for Mattermost that we love at n8n"
},
{
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