Chatbot de IA para captura de leads y preguntas frecuentes de negocio

Avanzado

Este es unLead Nurturing, AI Chatbotflujo de automatización del dominio deautomatización que contiene 17 nodos.Utiliza principalmente nodos como GoogleDrive, Agent, GoogleSheetsTool, GoogleDriveTrigger, ChatTrigger. Captura de prospectos y preguntas y respuestas de negocio automatizadas usando GPT-4o, Pinecone y Google Sheets

Requisitos previos
  • Credenciales de API de Google Drive
  • Credenciales de API de Google Sheets
  • Clave de API de OpenAI
  • Clave de API de Pinecone
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": "R07KTq4pioC2A0oL",
  "meta": {
    "instanceId": "82cad572864ecfae931ea0fa4a2122d5ad401b8f2cb25fb3ff144b553e0d676d"
  },
  "name": "AI Chatbot for Lead Capture and Business Q&A",
  "tags": [],
  "nodes": [
    {
      "id": "083c6eeb-bc14-43a9-ae83-3545ba49444c",
      "name": "Google Drive Trigger",
      "type": "n8n-nodes-base.googleDriveTrigger",
      "position": [
        -100,
        60
      ],
      "parameters": {
        "event": "fileCreated",
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "triggerOn": "specificFolder",
        "folderToWatch": {
          "__rl": true,
          "mode": "list",
          "value": "1UDedbXYGMpviGjiHLbYpTXmERrnQYvy4",
          "cachedResultUrl": "https://drive.google.com/drive/folders/1UDedbXYGMpviGjiHLbYpTXmERrnQYvy4",
          "cachedResultName": "Rag App"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "ba298cb7-50de-4aa3-a87c-1e826724ffa8",
      "name": "Google Drive",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        120,
        60
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {},
        "operation": "download"
      },
      "typeVersion": 3
    },
    {
      "id": "525e9fdb-b424-49a2-8d47-1fd6dfad5e7f",
      "name": "Pinecone Almacén de vectores",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        340,
        60
      ],
      "parameters": {
        "mode": "insert",
        "options": {
          "pineconeNamespace": "Q&A"
        },
        "pineconeIndex": {
          "__rl": true,
          "mode": "id",
          "value": "pineconeIndex"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "05dfceca-03ec-48ca-97a1-c8a03df55bf4",
      "name": "Incrustaciones OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        240,
        260
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "0ef50e4c-19c1-468d-83b7-d108297b57cb",
      "name": "Default Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        440,
        240
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1
    },
    {
      "id": "819b7187-fdc3-4b66-8658-c9b9e029157f",
      "name": "Recursive Character Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        400,
        420
      ],
      "parameters": {
        "options": {},
        "chunkSize": 500,
        "chunkOverlap": 20
      },
      "typeVersion": 1
    },
    {
      "id": "fb6b0698-8ac7-41bb-b3b3-9f0ab56903f0",
      "name": "Al recibir mensaje de chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -100,
        680
      ],
      "webhookId": "854c829c-2ce6-426f-89e2-ed44d33182f3",
      "parameters": {
        "mode": "webhook",
        "public": true,
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "0a6f0695-a028-4e26-9648-0c8b66b15627",
      "name": "Agente IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        320,
        680
      ],
      "parameters": {
        "options": {
          "systemMessage": "=## Role:\nYou are a friendly assistant for a Company named *New Company**.\n\n## Task:\nYou answer questions about the business.\n\n## Details:\nYou have access to various tools, which you use correctly.\n\n## Tools:\n- **newCompany_q**  \n  Use this tool to answer questions with knowledge about the company.\n\n- **sheets**  \n  Use this tool to store contact information such as name, email, interestet in and phone number.\n\nAfter a customer asks about opening hours, products, location, or business information, ask them for their name, email, specific interests and phone number.\n"
        }
      },
      "typeVersion": 1.7
    },
    {
      "id": "2f6f4f3c-fa64-40be-97e6-db66a65f21ae",
      "name": "Modelo de chat OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        80,
        900
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "ac7eff3d-de14-4921-b980-0bccd327492e",
      "name": "Window Buffer Memoria",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        240,
        900
      ],
      "parameters": {
        "contextWindowLength": 12
      },
      "typeVersion": 1.3
    },
    {
      "id": "562d791b-c360-4fdb-b238-3518d4c39a04",
      "name": "Modelo de chat OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        720,
        1140
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "553af7e0-7f68-4d90-992a-b998b30952af",
      "name": "Pinecone Almacén de vectores1",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        380,
        1120
      ],
      "parameters": {
        "options": {
          "pineconeNamespace": "Q&A"
        },
        "pineconeIndex": {
          "__rl": true,
          "mode": "id",
          "value": "=pineconeIndex"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0ea4f43e-3e55-4da4-a43e-dfbdf1e435ef",
      "name": "Incrustaciones OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        340,
        1280
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "dac4e2e6-23a3-4afa-a0a3-ef5b1f296219",
      "name": "newCompany_q",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "position": [
        480,
        900
      ],
      "parameters": {
        "description": "gives answers related to the company newCompany"
      },
      "typeVersion": 1.1
    },
    {
      "id": "d05ee3f4-a112-4221-810c-49a717bb0720",
      "name": "Append row in sheet in Hojas de Google",
      "type": "n8n-nodes-base.googleSheetsTool",
      "position": [
        800,
        920
      ],
      "parameters": {
        "columns": {
          "value": {
            "Name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Name', ``, 'string') }}",
            "Email": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email', ``, 'string') }}",
            "Phone": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Phone', ``, 'string') }}",
            "Interestet in": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Interestet_in', ``, 'string') }}"
          },
          "schema": [
            {
              "id": "Name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Phone",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Phone",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Email",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Email",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Interestet in",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Interestet in",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "id",
          "value": "="
        },
        "documentId": {
          "__rl": true,
          "mode": "id",
          "value": ""
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "08fb98b6-74b3-466b-a529-012996f7ebac",
      "name": "Nota adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1320,
        0
      ],
      "parameters": {
        "color": 2,
        "width": 1060,
        "height": 540,
        "content": "## Part One – Company Info to Pinecone Vector Store\nThis workflow automatically processes company information files uploaded to a designated Google Drive folder and stores the extracted knowledge in a Pinecone vector database for later AI usage.\n\n**Trigger:**\nThe workflow is triggered every minute when a new file is created in the specified Google Drive folder you can chose.\n\n**Process:**\nFile Upload\nThe company owner uploads a .txt or other document file containing essential company information to the Google Drive folder.\n\n**Download**\nThe file is automatically downloaded from Google Drive once detected.\n\n**Chunking and Parsing**\nThe content is split using a recursive character splitter (chunk size: 500, overlap: 20), then loaded and prepared for embeddings.\n\n**Embedding Generation**\nUsing OpenAI embeddings, the file content is transformed into vector representations.\n\n**Storage in Pinecone**\nThe resulting embeddings are inserted into the “goldsmith” index within Pinecone under the namespace Q&A.\n\n**Purpose:**\nThis structured knowledge will later be used in Part Two of the project, where an AI chatbot can retrieve relevant company info to assist in generating responses and converting leads."
      },
      "typeVersion": 1
    },
    {
      "id": "a5b192a3-e660-4492-a312-4d409dbd954b",
      "name": "Nota adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1320,
        680
      ],
      "parameters": {
        "color": 5,
        "width": 1060,
        "height": 740,
        "content": "## Part Two – AI Chatbot for Lead Capture and Business Q&A\nThis workflow enables a chatbot assistant for the goldsmith business Gold Digger, allowing it to answer customer inquiries and collect leads in an automated, intelligent way.\n\n**Trigger:**\nThe workflow is initiated when a customer sends a message to the public AI chat endpoint.\n\n**Process:**\nAI Assistant Activation\nA chat agent is triggered with a system prompt instructing it to act as a friendly assistant for you business. It uses tools intelligently to assist with:\n\nBusiness details (e.g., products, opening hours, services).\n\nCollecting lead data (name, email, interests, phone number).\n\n**Contextual Memory**\nA memory buffer is used to maintain conversation context (window of 12 messages), enabling coherent multi-turn dialogues.\n\n**Knowledge Retrieval**\nThe agent leverages the newCompany_q tool, which accesses a Pinecone vector store populated in Part One. This allows the chatbot to answer questions based on the uploaded company data.\n\n**AI Model**\nGPT-4o is used to generate natural and accurate responses throughout the conversation.\n\n**Lead Capture**\nWhen a user shows interest, the agent collects their:\nName, Email, Phone\n\n**Specific interests**\nThis information is then automatically stored in a connected Google Sheet\n\n**Purpose:**\nThis chatbot workflow acts as a digital front desk, available 24/7 to answer frequently asked questions and collect potential customer information. It streamlines lead generation and boosts customer engagement by providing instant, intelligent responses.\nYou can easily integrate this chatbot into your company website to enhance user experience and automate customer support.\n\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "cd9bd04e-8114-474b-a8a7-3802a869811f",
  "connections": {
    "ba298cb7-50de-4aa3-a87c-1e826724ffa8": {
      "main": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "dac4e2e6-23a3-4afa-a0a3-ef5b1f296219": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI1": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Vector Store1",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "dac4e2e6-23a3-4afa-a0a3-ef5b1f296219",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "0ef50e4c-19c1-468d-83b7-d108297b57cb": {
      "ai_document": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "083c6eeb-bc14-43a9-ae83-3545ba49444c": {
      "main": [
        [
          {
            "node": "ba298cb7-50de-4aa3-a87c-1e826724ffa8",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Vector Store1": {
      "ai_vectorStore": [
        [
          {
            "node": "dac4e2e6-23a3-4afa-a0a3-ef5b1f296219",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "819b7187-fdc3-4b66-8658-c9b9e029157f": {
      "ai_textSplitter": [
        [
          {
            "node": "0ef50e4c-19c1-468d-83b7-d108297b57cb",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Append row in sheet in Google Sheets": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  }
}
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 - Nutrición de leads, Chatbot de IA

¿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 nodos17
Categoría2
Tipos de nodos13
Descripción de la dificultad

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

Enlaces externos
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Categorías

Categorías: 34