Voice RAG Chatbot with ElevenLabs and OpenAI

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  "name": "Voice RAG Chatbot with ElevenLabs and OpenAI",
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      "parameters": {
        "name": "company",
        "description": "Risponde alle domande relative a ciò che ti viene chiesto"
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        "content": "# STEP 4

## RAG System

Click 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.

The 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"
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      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 3,
        "width": 1420,
        "height": 360,
        "content": "# STEP 1

## Create an Agent on ElevenLabs 
- Create an agent on ElevenLabs (eg. test_n8n)
- Add \"First message\" (eg. Hi, Can I help you?)
- Add the \"System Prompt\" message... eg:
'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.'
- In Tools add a Webhook called eg. \"test_chatbot_elevenlabs\" and add the following description:
'You are the waiter. Answer the questions asked and store them in the question field.'
- Add the n8n webhook URL (method POST)
- 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
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      "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": "{
  \"filter\": {}
}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
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        }
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      "credentials": {
        "httpHeaderAuth": {
          "id": "qhny6r5ql9wwotpn",
          "name": "Qdrant API (Hetzner)"
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      "typeVersion": 4.2
    },
    {
      "id": "240283fc-50ec-475c-bd24-e6d0a367c10c",
      "name": "Refresh collection",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -440,
        -80
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      "parameters": {
        "url": "https://QDRANTURL/collections/COLLECTION/points/delete",
        "method": "POST",
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        "jsonBody": "{
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        "sendBody": true,
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    {
      "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"
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        },
        "options": {},
        "resource": "fileFolder"
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      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "HEy5EuZkgPZVEa9w",
          "name": "Google Drive account"
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    {
      "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 }}"
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        "options": {
          "googleFileConversion": {
            "conversion": {
              "docsToFormat": "text/plain"
            }
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        "operation": "download"
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        "options": {},
        "dataType": "binary"
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      "name": "Token Splitter",
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      "position": [
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        "chunkSize": 300,
        "chunkOverlap": 30
      },
      "typeVersion": 1
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      "position": [
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        "width": 880,
        "height": 220,
        "content": "# STEP 2

## Create Qdrant Collection
Change:
- QDRANTURL
- COLLECTION"
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      "position": [
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      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "=COLLECTION"
        }
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        "qdrantApi": {
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      "name": "Embeddings OpenAI1",
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      "position": [
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      "parameters": {
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      "credentials": {
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      "parameters": {
        "color": 4,
        "width": 620,
        "height": 400,
        "content": "# STEP 3












## Documents vectorization with Qdrant and Google Drive
Change:
- QDRANTURL
- COLLECTION"
      },
      "typeVersion": 1
    },
    {
      "id": "a148ffcf-335f-455d-8509-d98c711ed740",
      "name": "Respond to ElevenLabs",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
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          "name": "OpenAi account"
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      "typeVersion": 1
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    {
      "id": "802b76e1-3f3e-490c-9e3b-65dc5b28d906",
      "name": "Listen",
      "type": "n8n-nodes-base.webhook",
      "position": [
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      "webhookId": "e9f611eb-a8dd-4520-8d24-9f36deaca528",
      "parameters": {
        "path": "test_voice_message_elevenlabs",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
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    {
      "id": "bdc55a38-1d4b-48fe-bbd8-29bf1afd954a",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
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      "parameters": {},
      "typeVersion": 1.3
    },
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      "id": "2d5dd8cb-81eb-41bc-af53-b894e69e530c",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        200,
        1320
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "92d04432-1dbb-4d79-9edc-42378aee1c53",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 7,
        "width": 1400,
        "height": 240,
        "content": "# STEP 5

## Add Widget

Add the widget to your business website by replacing AGENT_ID with the agent id you created on ElevenLabs

<elevenlabs-convai agent-id=\"AGENT_ID\"></elevenlabs-convai><script src=\"https://elevenlabs.io/convai-widget/index.js\" async type=\"text/javascript\"></script>"
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  "active": false,
  "pinData": {},
  "settings": {
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  "versionId": "6738abfe-e626-488d-a00b-81021cb04aaf",
  "connections": {
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            "node": "AI Agent",
            "type": "main",
            "index": 0
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            "type": "ai_languageModel",
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            "type": "main",
            "index": 0
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            "index": 0
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      ]
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            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
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            "node": "Qdrant Vector Store",
            "type": "ai_embedding",
            "index": 0
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          {
            "node": "Get folder",
            "type": "main",
            "index": 0
          }
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    "Default Data Loader": {
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            "type": "ai_memory",
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            "node": "Refresh collection",
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            "index": 0
          }
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}