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Documentation Complète
📋 Automatisation IA pour Chatbot Vocal avec ElevenLabs et OpenAI
💡 Description
Ce workflow n8n intègre les capacités de traitement du langage naturel d'OpenAI avec la technologie de synthèse vocale d'ElevenLabs pour créer un chatbot vocal interactif et intelligent. En exploitant des bases de données vectorielles pour une extraction rapide des informations, ce système améliore l'efficacité du support client et enrichit l'expérience utilisateur. Les entreprises peuvent offrir des réponses précises et personnalisées à leurs clients, tout en réduisant les coûts opérationnels grâce à l'automatisation.
📈 Impact & ROI: Réduction des coûts grâce à l'automatisation du support, amélioration de la satisfaction client et augmentation potentielle des ventes grâce à une interaction plus engageante.
🚀 Fonctionnalités Clés
- ✅ Intégration fluide avec ElevenLabs pour la synthèse vocale
- ✅ Utilisation d'OpenAI pour le traitement du langage naturel
- ✅ Extraction rapide d'informations à partir de bases de données vectorielles
- ✅ Amélioration significative de l'expérience client
📊 Architecture Technique
23
Nodes
Nodes
15
Connexions
Connexions
4
Services
Services
🔌 Services Intégrés
OpenAIElevenLabsGoogle DriveQdrant
🔧 Composition du Workflow
| Node | Type | Description |
|---|---|---|
| AI Agent | @n8n/n8n-nodes-langchain.agent | Traitement des données |
| Vector Store Tool | @n8n/n8n-nodes-langchain.toolVectorStore | Traitement des données |
| Qdrant Vector Store | @n8n/n8n-nodes-langchain.vectorStoreQdrant | Traitement des données |
| Embeddings OpenAI | @n8n/n8n-nodes-langchain.embeddingsOpenAi | Traitement des données |
| Sticky Note4 | stickyNote | Traitement des données |
| Sticky Note | stickyNote | Traitement des données |
| When clicking ‘Test workflow’ | manualTrigger | Traitement des données |
| Create collection | httpRequest | Requête HTTP vers une API externe |
| Refresh collection | httpRequest | Requête HTTP vers une API externe |
| Get folder | googleDrive | Traitement des données |
| Download Files | googleDrive | Traitement des données |
| Default Data Loader | @n8n/n8n-nodes-langchain.documentDefaultDataLoader | Traitement des données |
| Token Splitter | @n8n/n8n-nodes-langchain.textSplitterTokenSplitter | Division des données en plusieurs branches |
| Sticky Note3 | stickyNote | Traitement des données |
| Qdrant Vector Store1 | @n8n/n8n-nodes-langchain.vectorStoreQdrant | Traitement des données |
| Embeddings OpenAI1 | @n8n/n8n-nodes-langchain.embeddingsOpenAi | Traitement des données |
| Sticky Note5 | stickyNote | Traitement des données |
| Respond to ElevenLabs | respondToWebhook | Réception de données via webhook |
| OpenAI | @n8n/n8n-nodes-langchain.lmChatOpenAi | Traitement des données |
| Listen | webhook | Réception de données via webhook |
| Window Buffer Memory | @n8n/n8n-nodes-langchain.memoryBufferWindow | Traitement des données |
| OpenAI Chat Model | @n8n/n8n-nodes-langchain.lmChatOpenAi | Traitement des données |
| Sticky Note6 | stickyNote | Traitement des données |
📖 Guide d'Implémentation
- Import du workflow: Téléchargez le fichier JSON et importez-le dans votre instance n8n
- Configuration des credentials: Configurez les accès pour chaque service utilisé
- Personnalisation: Adaptez les paramètres selon vos besoins spécifiques
- Test: Exécutez le workflow en mode test pour vérifier le bon fonctionnement
- Activation: Activez le workflow pour une exécution automatique
🏷️ Tags
Structure JSON
Voir le code JSON complet
{
"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": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account"
}
},
"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": "CDX6QM4gLYanh0P4",
"name": "OpenAi account"
}
},
"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": "qhny6r5ql9wwotpn",
"name": "Qdrant API (Hetzner)"
}
},
"typeVersion": 4.2
},
{
"id": "240283fc-50ec-475c-bd24-e6d0a367c10c",
"name": "Refresh collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
-440,
-80
],
"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": "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": "HEy5EuZkgPZVEa9w",
"name": "Google Drive account"
}
},
"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": "HEy5EuZkgPZVEa9w",
"name": "Google Drive account"
}
},
"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": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account"
}
},
"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": "CDX6QM4gLYanh0P4",
"name": "OpenAi account"
}
},
"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": "CDX6QM4gLYanh0P4",
"name": "OpenAi account"
}
},
"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": "CDX6QM4gLYanh0P4",
"name": "OpenAi account"
}
},
"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<elevenlabs-convai agent-id=\"AGENT_ID\"><\/elevenlabs-convai><script src=\"https:\/\/elevenlabs.io\/convai-widget\/index.js\" async type=\"text\/javascript\"><\/script>"
},
"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
}
]
]
}
}
}
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