Chatbot de voz RAG con ElevenLabs y OpenAI

Avanzado

Este es unAIflujo de automatización del dominio deautomatización que contiene 23 nodos.Utiliza principalmente nodos como Webhook, GoogleDrive, HttpRequest, ManualTrigger, Agent, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Chatbot de voz con IA basado en ElevenLabs y OpenAI - para servicio al cliente y sector de restauración

Requisitos previos
  • Punto final de HTTP Webhook (n8n generará automáticamente)
  • Credenciales de API de Google Drive
  • Pueden requerirse credenciales de autenticación para la API de destino
  • Clave de API de OpenAI
  • Información de conexión del servidor Qdrant
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "ibiHg6umCqvcTF4g",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "Voice RAG Chatbot with ElevenLabs and OpenAI",
  "tags": [],
  "nodes": [
    {
      "id": "5898da57-38b0-4d29-af25-fe029cda7c4a",
      "name": "Agente de IA",
      "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": "Herramienta de Almacén Vectorial",
      "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": "Almacén Vectorial Qdrant",
      "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": "Nota Adhesiva4",
      "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": "Nota Adhesiva",
      "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": "Al hacer clic en 'Probar flujo de trabajo'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -740,
        -200
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "3e71e40c-a5cc-40cf-a159-aeedc97c47d1",
      "name": "Crear colección",
      "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": "Actualizar colección",
      "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": "Obtener carpeta",
      "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": "Descargar archivos",
      "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": "Cargador de Datos Predeterminado",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        380,
        120
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1
    },
    {
      "id": "7f614392-7bc7-408c-8108-f289a81d5cf6",
      "name": "Separador por Tokens",
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "position": [
        360,
        280
      ],
      "parameters": {
        "chunkSize": 300,
        "chunkOverlap": 30
      },
      "typeVersion": 1
    },
    {
      "id": "648c5b3d-37a8-4a89-b88c-38e1863f09dc",
      "name": "Nota Adhesiva3",
      "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": "Almacén Vectorial Qdrant1",
      "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": "Nota Adhesiva5",
      "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": "Responder a 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": "Escuchar",
      "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": "Memoria de Búfer de Ventana",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        -140,
        1040
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "2d5dd8cb-81eb-41bc-af53-b894e69e530c",
      "name": "Modelo de Chat OpenAI",
      "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": "Nota Adhesiva6",
      "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": {
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    },
    "5d19f73a-b8e8-4e75-8f67-836180597572": {
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    },
    "5898da57-38b0-4d29-af25-fe029cda7c4a": {
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            "type": "main",
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    "7f614392-7bc7-408c-8108-f289a81d5cf6": {
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}
Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Inteligencia Artificial

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos23
Categoría1
Tipos de nodos14
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Autor

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

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34