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ITSM1

Avanzado

Este es unTicket Management, AI RAGflujo de automatización del dominio deautomatización que contiene 24 nodos.Utiliza principalmente nodos como Set, ServiceNow, HttpRequest, ManualTrigger, Agent. Automatizar la clasificación y resolución de tickets ITSM con Gemini, Qdrant y ServiceNow

Requisitos previos
  • •Pueden requerirse credenciales de autenticación para la API de destino
  • •Información de conexión del servidor Qdrant
  • •Clave de API de Google Gemini

Nodos utilizados (24)

Set
ServiceNow
StickyNote
HttpRequest
ManualTrigger
Agent
ChatTrigger
TextClassifier
VectorStoreQdrant
ChainSummarization
LmChatGoogleGemini
MemoryBufferWindow
EmbeddingsGoogleGemini
DocumentDefaultDataLoader

Categoría

Gestión de tickets
RAG de IA
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
React Flow
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "2Qu0E8lUeCSRtola",
  "meta": {
    "instanceId": "3d82f3a40f5ac815bc32d53bda9e677518671f10c8d9077f63f459ab3bede2c9"
  },
  "name": "ITSM1",
  "tags": [],
  "nodes": [
    {
      "id": "850abce9-599a-413c-a436-60a008c0b5c9",
      "name": "Agente de IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -128,
        528
      ],
      "parameters": {
        "text": "=You are agent search {{ $json.chatInput }} query in the  in the Knowledge base \"FAQBase\" and give the response from that Qdrant Base  other wise tell no answer found. ",
        "options": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "ba465b14-47c5-4f6a-9f75-8c55bae9fdac",
      "name": "Modelo de Chat Google Gemini",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        -320,
        832
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "qaiIdOkANhDFbjxS",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "9b779910-299b-4400-9146-f7b6201b1b6f",
      "name": "Memoria Simple",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        -128,
        816
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "43ca808f-9c37-423d-8c4d-92abee33e3ea",
      "name": "Cuando se recibe mensaje de chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -800,
        320
      ],
      "webhookId": "3b6ac424-9648-4c8e-9c7d-da1c6a2dfc01",
      "parameters": {
        "mode": "webhook",
        "public": true,
        "options": {
          "responseMode": "lastNode"
        }
      },
      "typeVersion": 1.3,
      "alwaysOutputData": false
    },
    {
      "id": "89e2f425-c478-4c07-9921-7f70b5e9c952",
      "name": "Clasificador de Texto",
      "type": "@n8n/n8n-nodes-langchain.textClassifier",
      "position": [
        -528,
        304
      ],
      "parameters": {
        "options": {
          "enableAutoFixing": true,
          "systemPromptTemplate": "Please classify the text provided by the user into one of the following categories: {categories}, and use the provided formatting instructions below. Don't explain, and only output the json."
        },
        "inputText": "={{ $json.chatInput }}",
        "categories": {
          "categories": [
            {
              "category": "Incident ",
              "description": "Something is broken or not working (e.g., system down, hardware failure) "
            },
            {
              "category": "Request",
              "description": " Asking for something new installation (e.g., software installation, access request)."
            },
            {
              "category": "Other",
              "description": " Anything that doesn't fit the above (e.g., general queries, spam)."
            }
          ]
        }
      },
      "typeVersion": 1.1,
      "alwaysOutputData": true
    },
    {
      "id": "fcf2c082-6764-4ef4-aecc-f6bc90c154c0",
      "name": "Modelo de Chat Google Gemini1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        -608,
        576
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "qaiIdOkANhDFbjxS",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "002f60a9-f241-45a8-8be5-f02ed7db3475",
      "name": "Crear incidencia",
      "type": "n8n-nodes-base.serviceNow",
      "position": [
        0,
        0
      ],
      "parameters": {
        "resource": "incident",
        "operation": "create",
        "authentication": "basicAuth",
        "additionalFields": {},
        "short_description": "={{ $('When chat message received').item.json.chatInput }}"
      },
      "credentials": {
        "serviceNowBasicApi": {
          "id": "opQJW0Ko8bXrntfQ",
          "name": "ServiceNow Basic Auth account 2"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d8d72820-7352-4db7-bde0-7f34829dd0a2",
      "name": "Modelo de Chat Google Gemini2",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        272,
        176
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "qaiIdOkANhDFbjxS",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "c62d043f-e4fd-4bd9-b3bc-352cfe187e0b",
      "name": "Almacén Vectorial Qdrant",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        48,
        832
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "options": {},
        "toolDescription": "=Use this tool to get the actual information{{ $json.chatInput }} from the Qdrant  Collection",
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "FAQBase",
          "cachedResultName": "FAQBase"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "TehVMtfBbOEqo45g",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "f503164a-6a5e-4f8e-ab13-b2d9291cdbc0",
      "name": "Editar Campos",
      "type": "n8n-nodes-base.set",
      "position": [
        800,
        672
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "807e969e-a61f-491b-a476-523eadf250b2",
              "name": "sample_kb",
              "type": "string",
              "value": "Question: How to raise a ticket in an ITSM tool?\nAnswer: Go to the ITSM portal → Click on \"Create New Ticket\" → Fill in the required details (issue type, description, priority) → Submit the ticket.\n\nQuestion: How to check the status of a ticket?\nAnswer: Log in to the ITSM tool → Go to \"My Tickets\" or \"Ticket History\" → Check the current status (Open, In  Progress, Resolved, Closed).\n\nQuestion: How to install software using ITSM?\nAnswer: Raise a \"Service Request\" ticket → Select \"Software Installation\" → Mention the software name and version → Submit → Wait for approval and installation by IT team.\n\nQuestion: How to reset your password?\nAnswer: Go to the ITSM portal → Click on \"Password Reset\" under Service Requests → Fill in your user ID → Submit → Follow the instructions sent via email."
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "081de542-a82b-4644-a6f3-354a308d6994",
      "name": "Almacén Vectorial Qdrant1",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        1008,
        672
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "FAQBase",
          "cachedResultName": "FAQBase"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "TehVMtfBbOEqo45g",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "8e968996-0d89-484e-8566-0091c67ab3c0",
      "name": "Embeddings Google Gemini",
      "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
      "position": [
        928,
        896
      ],
      "parameters": {},
      "credentials": {
        "googlePalmApi": {
          "id": "qaiIdOkANhDFbjxS",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "68801987-ab93-48da-892f-abec5ed16fc4",
      "name": "Al hacer clic en 'Ejecutar flujo'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        624,
        688
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d61ab112-60d9-4fb2-a6c2-19ce0b54a84a",
      "name": "Embeddings Google Gemini1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
      "position": [
        96,
        1056
      ],
      "parameters": {},
      "credentials": {
        "googlePalmApi": {
          "id": "qaiIdOkANhDFbjxS",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "6d54ec99-6148-491f-8c78-c6f8b797c135",
      "name": "Cargador de Datos Predeterminado",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1200,
        944
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "fda35534-f519-4ef1-b320-191c0879d3bc",
      "name": "Cadena de Resumen",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        272,
        16
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 2.1
    },
    {
      "id": "4ce5cc1b-eafe-4fa8-8b0d-449bdc16ceed",
      "name": "Solicitud HTTP",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -80,
        320
      ],
      "parameters": {
        "url": "python.com",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "03943db4-18b1-4fd8-915e-49b8b77d1d66",
      "name": "Nota Adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        336,
        864
      ],
      "parameters": {
        "content": "Node Name: Qdrant Vector Store\nType: @n8n/n8n-nodes-langchain.vectorStoreQdrant\nPurpose: Retrieves relevant information from a vector database (Qdrant) based on semantic similarity to the user's input.\nKey Parameters:\nMode: retrieve-as-tool\nTool Description:\n=Use this tool to get the actual information{{ $json.chatInput }} from the Qdrant Collection\nCollection: FAQBase\nCredential Used: QdrantApi account\n\n Use Case:\nThis node is used to fetch contextually relevant answers from a pre-embedded FAQ knowledge base stored in Qdrant. It enhances the workflow by providing accurate, vector-based retrieval for user queries."
      },
      "typeVersion": 1
    },
    {
      "id": "466ca2f3-9c5f-43d2-994c-fccf2279b67a",
      "name": "Nota Adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1328,
        640
      ],
      "parameters": {
        "content": "Node Name: Qdrant Vector Store1\nType: @n8n/n8n-nodes-langchain.vectorStoreQdrant\nPurpose: Retrieves semantically similar information from the Qdrant vector database using embeddings.\nKey Parameters:\nMode: Default (not explicitly set, assumed retrieval)\nCollection: Uses the same Qdrant collection as other vector store nodes\nCredential Used: QdrantApi account\n Use Case:\nUsed to fetch relevant knowledge base entries or FAQs based on user input, leveraging vector similarity for intelligent matching."
      },
      "typeVersion": 1
    },
    {
      "id": "78002e8e-2210-4856-a7d9-c35bf884c0f8",
      "name": "Nota Adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        432,
        160
      ],
      "parameters": {
        "content": "Node Name: Google Gemini Chat Model2\nType: @n8n/n8n-nodes-langchain.lmChatGoogleGemini\nPurpose: Generates enriched responses or follow-up actions after classification or retrieval.\n Key Parameters:\nModel: Gemini (PaLM)\nCredential Used: Google Gemini(PaLM) Api account\nPosition in Workflow: Typically used after classification or after Qdrant retrieval\n Use Case:\nThis node helps generate intelligent responses based on the classified input or retrieved FAQ data, enhancing the user experience with contextual replies."
      },
      "typeVersion": 1
    },
    {
      "id": "736beef6-f3d1-4afa-9134-8c22b07381f1",
      "name": "Nota Adhesiva3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -64,
        -208
      ],
      "parameters": {
        "content": "Node Name: Create an incident\nType: n8n-nodes-base.serviceNow\nPurpose: Automatically creates a new incident in ServiceNow when the classified category is Incident.\n Key Parameters:\nAuthentication: Basic Auth\nResource: incident\nOperation: create\nShort Description: Create Incident based on the input from the user\nUse Case:\nTriggered when the Text Classifier identifies the input as an Incident, this node logs the issue directly into ServiceNow for ITSM tracking and resolution."
      },
      "typeVersion": 1
    },
    {
      "id": "e23ea4c6-36c5-4eb3-a070-cd66a42fa72c",
      "name": "Nota Adhesiva4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1856,
        576
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "73f86ac8-7297-4480-acdd-cda13629c85f",
      "name": "Nota Adhesiva5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -560,
        96
      ],
      "parameters": {
        "width": 256,
        "content": "Node Name: Text Classifier\nPurpose: Automatically classifies incoming user chat input into one of three predefined categories to route the workflow accordingly.\n Categories Defined:\nIncident\nDescription: Something is broken or not working (e.g., system down, hardware failure)\nRequest\nDescription: Asking for something new (e.g., software installation, access request)\nOther\nDescription: Anything that doesn't fit the above (e.g., general queries, spam)\n\nKey Parameters:\nInput Text:\n User will ask his query in the input\nOutput:\nReturns a clean JSON object with the classified category, which can be used to trigger conditional logic or route to ServiceNow, Gemini, or Qdrant nodes."
      },
      "typeVersion": 1
    },
    {
      "id": "963a1038-3cc7-4c89-a00c-8d310a51d378",
      "name": "Nota Adhesiva7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        192,
        512
      ],
      "parameters": {
        "content": "Node Name: AI Agent\nType: @n8n/n8n-nodes-langchain.lmChatGoogleGemini\nPurpose: Acts as a conversational agent powered by Google Gemini (PaLM), capable of understanding user input, generating intelligent responses, and interacting with other workflow components.\nCore Capabilities:\nUses Gemini LLM to interpret natural language queries.\nCan respond, route, or trigger actions based on user intent.\nIntegrates with classification, retrieval (Qdrant), and incident/request handling nodes.\n Key Parameters:\nModel: Gemini (PaLM)\nCredential Used: Google Gemini(PaLM) Api account\nInput: Typically receives chatInput or processed text from classifier or retrieval nodes.\n Use Case:\nThis node serves as the central intelligence of your workflow, enabling dynamic decision-making and contextual automation. It can:\nAnswer FAQs using retrieved data\nTrigger ServiceNow incidents or requests\nProvide enriched responses using LLM capabilities"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "27e4bb28-93dd-4fea-9053-e1482a89c58b",
  "connections": {
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    "9b779910-299b-4400-9146-f7b6201b1b6f": {
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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 - Gestión de tickets, RAG 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.

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Nivel de dificultad
Avanzado
Número de nodos24
Categoría2
Tipos de nodos14
Descripción de la dificultad

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

Autor
Nikitha
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IA Multimodal
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101
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Producto
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Wiki interno
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Categorías: 34