ITSM1

• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •Qdrant-Serververbindungsdaten
• •Google Gemini API Key

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    "instanceId": "3d82f3a40f5ac815bc32d53bda9e677518671f10c8d9077f63f459ab3bede2c9"
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  "name": "ITSM1",
  "tags": [],
  "nodes": [
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      "name": "KI-Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "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
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          "name": "Google Gemini(PaLM) Api account"
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      ],
      "webhookId": "3b6ac424-9648-4c8e-9c7d-da1c6a2dfc01",
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          "enableAutoFixing": true,
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        },
        "inputText": "={{ $json.chatInput }}",
        "categories": {
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              "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)."
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      "name": "Incident erstellen",
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      "position": [
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      "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"
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      "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"
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      "credentials": {
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        "assignments": {
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              "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."
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      "name": "Standard-Datenlader",
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      "name": "Zusammenfassungskette",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
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      "name": "HTTP Anfrage",
      "type": "n8n-nodes-base.httpRequest",
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      "parameters": {
        "url": "python.com",
        "options": {}
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      "name": "Notizzettel",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "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
    },
    {
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      "name": "Notizzettel1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "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": "Notizzettel2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "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
    },
    {
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      "name": "Notizzettel3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "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": "Notizzettel4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {},
      "typeVersion": 1
    },
    {
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      "name": "Notizzettel5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "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": "Notizzettel7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "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
    }
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  "pinData": {},
  "settings": {
    "executionOrder": "v1"
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