Azure 검색, Entra ID, Jira를 통합한 AI IT 지원 어시스턴트 구축

• •HTTP Webhook 엔드포인트(n8n이 자동으로 생성)
• •대상 API의 인증 정보가 필요할 수 있음
• •Google Gemini API Key

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    {
      "id": "0f922d64-d8c9-4480-a6cd-658d2728e121",
      "name": "채팅 메시지 수신 시",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "notes": "This node triggers the workflow when a new chat message is received. It serves as the main entry point for user interaction with the IT support agent.",
      "position": [
        -380,
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      ],
      "webhookId": "0836d692-53dd-4283-82e6-102b5ca71220",
      "parameters": {
        "public": true,
        "options": {},
        "authentication": "n8nUserAuth",
        "initialMessages": "Hello, what can I help you with today?"
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      "typeVersion": 1.1
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    {
      "id": "cb8d7008-5351-4758-be3e-485bce521a67",
      "name": "Google Gemini 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        60,
        80
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-flash-preview-05-20"
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      "credentials": {
        "googlePalmApi": {
          "id": "ARYVKWu9TZzwQ3fB",
          "name": "Google Gemini(PaLM) Api account"
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      },
      "typeVersion": 1
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    {
      "id": "d02e4e7d-8d63-44a6-828b-648f80c2223e",
      "name": "단순 메모리",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "notes": "This node manages conversational memory by tracking previous messages. It helps the agent maintain context across multi-turn conversations.",
      "position": [
        240,
        120
      ],
      "parameters": {
        "sessionKey": "={{ $('When chat message received').item.json.sessionId }}",
        "sessionIdType": "customKey",
        "contextWindowLength": 20
      },
      "typeVersion": 1.3
    },
    {
      "id": "5c365f51-7a0a-4ea9-bc4f-1be57d75ec32",
      "name": "Jira 티켓 생성",
      "type": "n8n-nodes-base.jiraTool",
      "notes": "This node creates a new Jira task in the IT project. It's triggered by the AI agent when a user request needs to be escalated or logged as a support issue.",
      "position": [
        420,
        140
      ],
      "parameters": {
        "project": {
          "__rl": true,
          "mode": "list",
          "value": "10000",
          "cachedResultName": "IT Support Tickets"
        },
        "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}",
        "issueType": {
          "__rl": true,
          "mode": "list",
          "value": "10003",
          "cachedResultName": "Task"
        },
        "additionalFields": {
          "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}"
        }
      },
      "credentials": {
        "jiraSoftwareCloudApi": {
          "id": "I4u3gUlGntTY7C1K",
          "name": "Jira SW Cloud account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "afbc48bf-06d4-4d91-9eb3-06365097c819",
      "name": "IT 지원 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "notes": "This node defines how the AI agent should behave. It combines memory, LLM reasoning, and available tools to give helpful, accurate responses based on internal company knowledge.",
      "position": [
        360,
        -140
      ],
      "parameters": {
        "text": "={{ $('When chat message received').item.json.chatInput }}",
        "options": {
          "systemMessage": "You are an IT support agent responsible for helping users solve IT-related issues clearly and accurately for Acme Corporation.\n\nYour behavior:\n - Before querying Entra ID, always use your vector store to look up proper Microsoft Entra ID filtering syntax. For example, if a user asks to reset their password, you'd need to find the Entra ID username. You'd ask your vector store how to create a filter for a display name (first and last name).\n\t• Always be helpful, specific, and concise.\n\t•\tDo not make assumptions. If you’re not sure, say so.\n\t•\tAvoid vague answers. Give direct steps or clarifying questions.\n\t•\tDo not invent information.\n\nHow to respond:\n - Always assume the user is asking about specific internal company information.\n\t•\tIf the vector store returns nothing useful, say: “I’m not sure. I couldn’t find any internal documentation about that.”\n\nTools:\n\t•\tUse the vector store to search for answers to company-specific questions.\n\t•\tUse memory to maintain conversation context across turns.\n\nExample:\nUser: How do I connect to the VPN?\n\t•\tIf vector search returns relevant info: “According to internal docs: [quote or summary].”\n\t•\tIf unsure: “I don’t have an answer for that and couldn’t find anything in the docs. Please reach out to IT directly.”"
        },
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "361838b8-d0ec-4ccc-8962-3877d97709ad",
      "name": "지식 업로드 시",
      "type": "n8n-nodes-base.formTrigger",
      "notes": "This node provides a file upload form where users can submit internal documentation in .txt or .md format. It acts as the starting point for populating the knowledge base with custom company content.",
      "position": [
        -360,
        -500
      ],
      "webhookId": "0538f979-985a-4307-a0d0-2c661f72f9d7",
      "parameters": {
        "options": {
          "respondWithOptions": {
            "values": {
              "formSubmittedText": "={{ $form_response }}"
            }
          }
        },
        "formTitle": "IT Support Agent Knowledge",
        "formFields": {
          "values": [
            {
              "fieldType": "file",
              "fieldLabel": "Documents",
              "requiredField": true,
              "acceptFileTypes": ".txt,.md"
            }
          ]
        },
        "responseMode": "lastNode"
      },
      "typeVersion": 2.2
    },
    {
      "id": "2bd73569-dbf6-43c0-b23d-5345dd5daf63",
      "name": "바이너리 파일 분리",
      "type": "n8n-nodes-base.splitOut",
      "notes": "This node separates out each uploaded file from the form trigger so they can be processed one by one. It prepares binary documents for downstream decoding and transformation.",
      "position": [
        -160,
        -500
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "$binary"
      },
      "typeVersion": 1
    },
    {
      "id": "e13fc33f-e203-4a52-895d-dfe8dde68e9f",
      "name": "임베딩 가져오기",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "This node sends the raw text content of each document to OpenAI’s embedding API. It returns a numerical vector that represents the meaning of the document for semantic indexing.",
      "position": [
        240,
        -500
      ],
      "parameters": {
        "url": "https://api.openai.com/v1/embeddings",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "predefinedCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "input",
              "value": "={{ $json.content }}"
            },
            {
              "name": "model",
              "value": "text-embedding-ada-002"
            }
          ]
        },
        "nodeCredentialType": "openAiApi"
      },
      "credentials": {
        "openAiApi": {
          "id": "pDTcyVld8cyLwQKJ",
          "name": "OpenAi account"
        },
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
          "name": "Microsoft Azure"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "318e8f5b-5ab8-4dcf-83cd-1b2489f61809",
      "name": "콘텐츠 준비",
      "type": "n8n-nodes-base.code",
      "notes": "This node processes each document by decoding the base64 content, extracting file metadata, and generating a unique hash ID. It prepares the structure required for embedding and indexing.",
      "position": [
        40,
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      ],
      "parameters": {
        "jsCode": "function generateGUID() {\n  return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {\n    const r = Math.random() * 16 | 0;\n    const v = c === 'x' ? r : (r & 0x3 | 0x8);\n    return v.toString(16);\n  });\n}\n\n// SHA-256 implementation (from https://geraintluff.github.io/sha256/)\nfunction sha256(ascii) {\n  function rightRotate(value, amount) {\n    return (value >>> amount) | (value << (32 - amount));\n  }\n\n  var mathPow = Math.pow;\n  var maxWord = mathPow(2, 32);\n  var lengthProperty = 'length';\n  var i, j;\n  var result = '';\n\n  var words = [];\n  var asciiBitLength = ascii[lengthProperty] * 8;\n\n  var hash = (sha256.h = sha256.h || []);\n  var k = (sha256.k = sha256.k || []);\n  var primeCounter = k[lengthProperty];\n\n  var isComposite = {};\n  for (var candidate = 2; primeCounter < 64; candidate++) {\n    if (!isComposite[candidate]) {\n      for (i = 0; i < 313; i += candidate) {\n        isComposite[i] = candidate;\n      }\n      hash[primeCounter] = (mathPow(candidate, 0.5) * maxWord) | 0;\n      k[primeCounter++] = (mathPow(candidate, 1 / 3) * maxWord) | 0;\n    }\n  }\n\n  ascii += '\\x80';\n  while ((ascii[lengthProperty] % 64) - 56) ascii += '\\x00';\n  for (i = 0; i < ascii[lengthProperty]; i++) {\n    j = ascii.charCodeAt(i);\n    if (j >> 8) return; // ASCII check\n    words[i >> 2] |= j << ((3 - i) % 4) * 8;\n  }\n  words[words[lengthProperty]] = (asciiBitLength / maxWord) | 0;\n  words[words[lengthProperty]] = asciiBitLength;\n\n  for (j = 0; j < words[lengthProperty]; ) {\n    var w = words.slice(j, (j += 16));\n    var oldHash = hash.slice(0);\n\n    for (i = 0; i < 64; i++) {\n      var w15 = w[i - 15],\n        w2 = w[i - 2];\n\n      var a = hash[0],\n        e = hash[4];\n      var temp1 =\n        hash[7] +\n        (rightRotate(e, 6) ^ rightRotate(e, 11) ^ rightRotate(e, 25)) +\n        ((e & hash[5]) ^ (~e & hash[6])) +\n        k[i] +\n        (w[i] =\n          i < 16\n            ? w[i]\n            : (w[i - 16] +\n                (rightRotate(w15, 7) ^ rightRotate(w15, 18) ^ (w15 >>> 3)) +\n                w[i - 7] +\n                (rightRotate(w2, 17) ^ rightRotate(w2, 19) ^ (w2 >>> 10))) |\n              0);\n      var temp2 =\n        (rightRotate(a, 2) ^ rightRotate(a, 13) ^ rightRotate(a, 22)) +\n        ((a & hash[1]) ^ (a & hash[2]) ^ (hash[1] & hash[2]));\n\n      hash = [\n        (temp1 + temp2) | 0,\n        a,\n        hash[1],\n        hash[2],\n        (hash[3] + temp1) | 0,\n        hash[4],\n        hash[5],\n        hash[6],\n      ];\n    }\n\n    for (i = 0; i < 8; i++) {\n      hash[i] = (hash[i] + oldHash[i]) | 0;\n    }\n  }\n\n  for (i = 0; i < 8; i++) {\n    for (j = 3; j + 1; j--) {\n      var b = (hash[i] >> (j * 8)) & 255;\n      result += (b < 16 ? '0' : '') + b.toString(16);\n    }\n  }\n  return result;\n}\n\nfunction decodeBase64(string) {\n  return Buffer.from(string, 'base64').toString('utf-8');\n}\n\nlet items = []\nfor (let index = 0; index < $input.all().length; index++) {\n  let doc\n  if ($input.all().length > 1) {\n    doc = $input.all()[index].binary[`Documents_${index}`]\n  } else {\n    doc = $input.all()[index].binary.Documents\n  }\n  items.push({\n    'id': sha256(doc.data),\n    'title': doc.fileName,\n    'content' : decodeBase64(doc.data),\n    'category' : 'General',\n  })\n}\n\nreturn items"
      },
      "typeVersion": 2
    },
    {
      "id": "b7012bae-3784-4f7f-8063-80bace44400a",
      "name": "스티커 노트",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -440,
        -580
      ],
      "parameters": {
        "width": 1540,
        "height": 280,
        "content": "## 2. Uploading Docs to Azure AI Search Index"
      },
      "typeVersion": 1
    },
    {
      "id": "fd7b2aa1-ba54-447e-bf1f-91db4b996ed8",
      "name": "'워크플로 테스트' 클릭 시",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
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        -820
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      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "21970d41-85ef-4cb0-a77c-b2f3ba5d278c",
      "name": "공통 필드 설정",
      "type": "n8n-nodes-base.set",
      "notes": "Initializes required Azure variables like subscription ID, resource group, and service/index names. These are reused by other nodes.",
      "position": [
        -80,
        -820
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "19df8ba3-b94f-4711-8023-39148a734d1c",
              "name": "azure_subscription_id",
              "type": "string",
              "value": "<your azure subscription id>"
            },
            {
              "id": "6333290a-d91b-49f5-b4fa-10de5ca6cec7",
              "name": "azure_resource_group",
              "type": "string",
              "value": "<azure resource group name>"
            },
            {
              "id": "3aba9081-6827-4df2-8a3b-eb2a447c5c0d",
              "name": "azure_ai_search_service_name",
              "type": "string",
              "value": "itsupport-search-service"
            },
            {
              "id": "deb3cd8c-71b4-476e-942d-ed7a60843f28",
              "name": "azure_ai_search_location",
              "type": "string",
              "value": "<azure region>"
            },
            {
              "id": "96121598-e6f1-4119-b3ea-d0cfd58408f4",
              "name": "azure_ai_search_index_name",
              "type": "string",
              "value": "<azure ai search index name>"
            }
          ]
        }
      },
      "notesInFlow": false,
      "typeVersion": 3.4
    },
    {
      "id": "e638ce32-3220-47a6-8e77-d42e7411d358",
      "name": "Azure AI 검색 서비스 생성",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "Creates an Azure AI Search service with semantic search config.\nNote: Requires basic pricing tier for semantic search, which supports vector search and natural language queries.",
      "position": [
        120,
        -820
      ],
      "parameters": {
        "url": "=https://management.azure.com/subscriptions/{{ $json.azure_subscription_id }}/resourceGroups/{{ $json.azure_resource_group }}/providers/Microsoft.Search/searchServices/{{ $json.azure_ai_search_service_name }}",
        "method": "PUT",
        "options": {},
        "jsonBody": "={\n  \"location\": \"{{ $json.azure_ai_search_location }}\",\n  \"sku\": {\n    \"name\": \"basic\"\n  },\n  \"properties\": {\n    \"replicaCount\": 1,\n    \"partitionCount\": 1,\n    \"hostingMode\": \"default\",\n    \"semanticSearch\": {\n      \"configurations\": [\n        {\n          \"name\": \"semantic-config\",\n          \"prioritizedFields\": {\n            \"titleField\": {\n              \"fieldName\": \"title\"\n            },\n            \"prioritizedContentFields\": [\n              { \"fieldName\": \"content\" }\n            ],\n            \"prioritizedKeywordsFields\": [\n              { \"fieldName\": \"category\" }\n            ]\n          }\n        }\n      ]\n    }\n  }\n}",
        "sendBody": true,
        "sendQuery": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "api-version",
              "value": "2020-08-01"
            }
          ]
        },
        "nodeCredentialType": "microsoftOAuth2Api"
      },
      "credentials": {
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
          "name": "Microsoft Azure"
        }
      },
      "notesInFlow": false,
      "typeVersion": 4.2
    },
    {
      "id": "9b641627-eb3d-43e9-9716-61e752262d73",
      "name": "Azure AI 검색 관리 키 가져오기",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "Retrieves the admin key for the Azure AI Search service. This key is needed to create and manage indexes.",
      "position": [
        560,
        -820
      ],
      "parameters": {
        "url": "=https://management.azure.com/subscriptions/{{ $('Set Common Fields').item.json.azure_subscription_id }}/resourceGroups/{{ $('Set Common Fields').item.json.azure_resource_group }}/providers/Microsoft.Search/searchServices/{{ $('Set Common Fields').item.json.azure_ai_search_service_name }}/listAdminKeys",
        "method": "POST",
        "options": {},
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "api-version",
              "value": "2023-11-01"
            }
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        },
        "nodeCredentialType": "microsoftOAuth2Api"
      },
      "credentials": {
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
          "name": "Microsoft Azure"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "66d8fb83-562f-42ea-ab18-3df5551404d7",
      "name": "Azure AI 벡터 인덱스 생성",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        760,
        -820
      ],
      "parameters": {
        "url": "=https://{{ $('Set Common Fields').item.json.azure_ai_search_service_name }}.search.windows.net/indexes",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"name\": \"{{ $('Set Common Fields').item.json.azure_ai_search_index_name }}\",\n  \"fields\": [\n    {\n      \"name\": \"id\",\n      \"type\": \"Edm.String\",\n      \"key\": true,\n      \"searchable\": false,\n      \"filterable\": true,\n      \"retrievable\": true\n    },\n    {\n      \"name\": \"title\",\n      \"type\": \"Edm.String\",\n      \"searchable\": true,\n      \"retrievable\": true\n    },\n    {\n      \"name\": \"content\",\n      \"type\": \"Edm.String\",\n      \"searchable\": true,\n      \"retrievable\": true\n    },\n    {\n      \"name\": \"category\",\n      \"type\": \"Edm.String\",\n      \"searchable\": true,\n      \"filterable\": true,\n      \"retrievable\": true\n    },\n    {\n      \"name\": \"contentVector\",\n      \"type\": \"Collection(Edm.Single)\",\n      \"searchable\": true,\n      \"retrievable\": true,\n      \"dimensions\": 1536,\n      \"vectorSearchProfile\": \"vector-profile\"\n    }\n  ],\n  \"vectorSearch\": {\n    \"algorithms\": [\n      {\n        \"name\": \"hnsw-algorithm\",\n        \"kind\": \"hnsw\",\n        \"hnswParameters\": {\n          \"m\": 4,\n          \"efConstruction\": 400,\n          \"efSearch\": 500,\n          \"metric\": \"cosine\"\n        }\n      }\n    ],\n    \"profiles\": [\n      {\n        \"name\": \"vector-profile\",\n        \"algorithm\": \"hnsw-algorithm\"\n      }\n    ]\n  },\n  \"semantic\": {\n    \"configurations\": [\n      {\n        \"name\": \"semantic-config\",\n        \"prioritizedFields\": {\n          \"titleField\": {\n            \"fieldName\": \"title\"\n          },\n          \"prioritizedContentFields\": [\n            { \"fieldName\": \"content\" }\n          ],\n          \"prioritizedKeywordsFields\": [\n            { \"fieldName\": \"category\" }\n          ]\n        }\n      }\n    ]\n  }\n}",
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "queryParameters": {
          "parameters": [
            {
              "name": "api-version",
              "value": "2023-11-01"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "api-key",
              "value": "={{ $json.primaryKey }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "9be7ca4e-bf14-4a40-9797-7370618c7557",
      "name": "스티커 노트1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -440,
        -900
      ],
      "parameters": {
        "width": 1420,
        "height": 280,
        "content": "## 1. Create the Azure AI Search Index"
      },
      "typeVersion": 1
    },
    {
      "id": "1b06b5a5-dc44-4544-b288-5ff6bfd25497",
      "name": "Azure AI 검색 관리 키 가져오기1",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "This node retrieves the admin key needed to authenticate and upload data to the Azure AI Search index. It’s required for pushing content updates.",
      "position": [
        640,
        -500
      ],
      "parameters": {
        "url": "=https://management.azure.com/subscriptions/{{ $json.azure_subscription_id }}/resourceGroups/{{ $json.azure_resource_group }}/providers/Microsoft.Search/searchServices/{{ $json.azure_ai_search_service_name }}/listAdminKeys",
        "method": "POST",
        "options": {},
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "api-version",
              "value": "2023-11-01"
            }
          ]
        },
        "nodeCredentialType": "microsoftOAuth2Api"
      },
      "credentials": {
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
          "name": "Microsoft Azure"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "c359c7d7-b282-4559-b683-daaf34ac6706",
      "name": "공통 필드 설정1",
      "type": "n8n-nodes-base.set",
      "notes": "This node defines and reuses Azure configuration values needed to interact with the AI Search API during document upload. It ensures all following steps use consistent references.",
      "position": [
        440,
        -500
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "19df8ba3-b94f-4711-8023-39148a734d1c",
              "name": "azure_subscription_id",
              "type": "string",
              "value": "<azure subscription id>"
            },
            {
              "id": "6333290a-d91b-49f5-b4fa-10de5ca6cec7",
              "name": "azure_resource_group",
              "type": "string",
              "value": "<azure resource group>"
            },
            {
              "id": "3aba9081-6827-4df2-8a3b-eb2a447c5c0d",
              "name": "azure_ai_search_service_name",
              "type": "string",
              "value": "<azure ai search service name>"
            },
            {
              "id": "deb3cd8c-71b4-476e-942d-ed7a60843f28",
              "name": "azure_ai_search_location",
              "type": "string",
              "value": "<azure region>"
            },
            {
              "id": "96121598-e6f1-4119-b3ea-d0cfd58408f4",
              "name": "azure_ai_search_index_name",
              "type": "string",
              "value": "<azure ai search index name>"
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          ]
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      },
      "typeVersion": 3.4
    },
    {
      "id": "fbaa77a9-58f9-4179-afb2-53a2003b3e57",
      "name": "벡터 저장소에 임베딩 업로드",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "This node sends the document text and its vector embedding to Azure AI Search. It updates the index using 'mergeOrUpload', making the document immediately searchable by the agent.",
      "position": [
        840,
        -500
      ],
      "parameters": {
        "url": "=https://{{ $('Set Common Fields1').item.json.azure_ai_search_service_name }}.search.windows.net/indexes/{{ $('Set Common Fields1').item.json.azure_ai_search_index_name }}/docs/index",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"value\": [\n    {\n     \"@search.action\": \"mergeOrUpload\",\n     \"id\": {{ JSON.stringify($('Prep Content').item.json.id) }},\n     \"title\": {{ JSON.stringify($('Prep Content').item.json.title) }},\n     \"content\": {{ JSON.stringify($('Prep Content').item.json.content) }},\n     \"category\": {{ JSON.stringify($('Prep Content').item.json.category) }},\n     \"contentVector\": [\n        {{ $('Get Embeddings').item.json.data[0].embedding }}\n      ]\n   }\n  ]\n}",
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "queryParameters": {
          "parameters": [
            {
              "name": "api-version",
              "value": "2023-11-01"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "api-key",
              "value": "={{ $json.primaryKey }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "29cf1c12-247d-43dd-8314-10f80cc0bd80",
      "name": "임베딩 가져오기1",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "This node sends the user's natural language question to OpenAI's embedding API. It returns a vector that captures the semantic meaning of the input for similarity search.",
      "position": [
        1440,
        -40
      ],
      "parameters": {
        "url": "https://api.openai.com/v1/embeddings",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "predefinedCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "input",
              "value": "={{ $json.body.content }}"
            },
            {
              "name": "model",
              "value": "text-embedding-ada-002"
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        },
        "nodeCredentialType": "openAiApi"
      },
      "credentials": {
        "openAiApi": {
          "id": "pDTcyVld8cyLwQKJ",
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        "microsoftOAuth2Api": {
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      },
      "typeVersion": 4.2
    },
    {
      "id": "3c0d7268-d721-4bef-a0bf-1f51084ff627",
      "name": "의미 검색",
      "type": "n8n-nodes-base.webhook",
      "notes": "This node receives POST requests containing a user's search query and Azure configuration. It triggers the semantic search flow by passing the input to the embedding and query pipeline.",
      "position": [
        1200,
        -40
      ],
      "webhookId": "663762b4-cdd6-403c-9aa1-7c192da14480",
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      "typeVersion": 2
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    {
      "id": "678d364c-3a6e-4b30-95cd-c6ce5fd12851",
      "name": "벡터 저장소 쿼리 호출 Webhook",
      "type": "n8n-nodes-base.httpRequestTool",
      "notes": "This node sends a request to an internal webhook to query the Azure AI Search index using semantic search. It helps the agent find relevant internal documentation.",
      "position": [
        900,
        -160
      ],
      "parameters": {
        "url": "=<semantic search webhook URL>",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "azure_ai_search_service_name",
              "value": "={{ $json.azure_ai_search_service_name }}"
            },
            {
              "name": "azure_ai_search_index_name",
              "value": "={{ $json.azure_ai_search_index_name }}"
            },
            {
              "name": "content",
              "value": "={{ $('When chat message received').item.json.chatInput }}"
            },
            {
              "name": "azure_subscription_id",
              "value": "={{ $json.azure_subsription_id }}"
            },
            {
              "name": "azure_resource_group",
              "value": "={{ $json.azure_resource_group }}"
            }
          ]
        },
        "toolDescription": "Query vector store"
      },
      "typeVersion": 4.2
    },
    {
      "id": "c6dc5556-3579-4177-ab2e-2de929284542",
      "name": "Azure AI 검색 관리 키 가져오기2",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "This node retrieves the admin key for the specified Azure AI Search service. It allows the workflow to securely query the index with the embedded vector.",
      "position": [
        1680,
        -40
      ],
      "parameters": {
        "url": "=https://management.azure.com/subscriptions/{{ $('Semantic Search').item.json.body.azure_subscription_id }}/resourceGroups/{{ $('Semantic Search').item.json.body.azure_resource_group }}/providers/Microsoft.Search/searchServices/{{ $('Semantic Search').item.json.body.azure_ai_search_service_name }}/listAdminKeys",
        "method": "POST",
        "options": {},
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
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              "name": "api-version",
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      "credentials": {
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      "typeVersion": 4.2
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      "name": "의미 검색 활성화",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "Enables semantic search features for the Azure Search service after creation.",
      "position": [
        340,
        -820
      ],
      "parameters": {
        "url": "=https://management.azure.com/subscriptions/{{ $('Set Common Fields').item.json.azure_subscription_id }}/resourceGroups/{{ $('Set Common Fields').item.json.azure_resource_group }}/providers/Microsoft.Search/searchServices/{{ $('Set Common Fields').item.json.azure_ai_search_service_name }}",
        "method": "PATCH",
        "options": {},
        "jsonBody": "{\n  \"properties\": {\n    \"semanticSearch\": \"free\"\n  }\n}",
        "sendBody": true,
        "sendQuery": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
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      "typeVersion": 4.2
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    {
      "id": "514f2ab6-960b-4f7c-8a2a-36073f0d8377",
      "name": "Azure AI 검색 인덱스 쿼리",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "This node performs a vector and semantic search against the Azure AI Search index using the input vector. It returns the top matching documents based on similarity and semantic configuration.",
      "position": [
        1920,
        -40
      ],
      "parameters": {
        "url": "=https://{{ $('Semantic Search').item.json.body.azure_ai_search_service_name }}.search.windows.net/indexes/{{ $('Semantic Search').item.json.body.azure_ai_search_index_name }}/docs/search",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"search\": \"{{ $('Semantic Search').item.json.body.content }}\",\n  \"queryType\": \"semantic\",\n  \"semanticConfiguration\": \"semantic-config\",\n  \"vectorQueries\": [\n    {\n      \"vector\": [{{ $('Get Embeddings1').item.json.data[0].embedding }}],\n      \"fields\": \"contentVector\",\n      \"k\": 50,\n      \"kind\": \"vector\"\n    }\n  ],\n  \"select\": \"id,title,content,category\",\n  \"top\": 5\n}",
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "queryParameters": {
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              "name": "api-version",
              "value": "2023-11-01"
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          ]
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        "headerParameters": {
          "parameters": [
            {
              "name": "api-key",
              "value": "={{ $json.primaryKey }}"
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      },
      "typeVersion": 4.2
    },
    {
      "id": "f70b6cf0-7459-42e3-8fc3-0f3e42afbac1",
      "name": "사용자 비밀번호 재설정",
      "type": "n8n-nodes-base.httpRequestTool",
      "notes": "This node resets a user's Microsoft Entra ID password using the Microsoft Graph API. It's triggered when the AI agent confirms the target username and request intent.",
      "position": [
        600,
        120
      ],
      "parameters": {
        "url": "=https://graph.microsoft.com/v1.0/users/{{ $fromAI('entra_id_username') }}",
        "method": "PATCH",
        "options": {},
        "jsonBody": "{\n  \"passwordProfile\": {\n    \"forceChangePasswordNextSignIn\": true,\n    \"password\": \"NewPassword123!\"\n  }\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "toolDescription": "Reset Microsoft Entra ID password. Always tell the user the password you reset the account to when successful.",
        "nodeCredentialType": "microsoftEntraOAuth2Api"
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      "credentials": {
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
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        "microsoftEntraOAuth2Api": {
          "id": "vxWcatwYvtkis0zv",
          "name": "Microsoft Entra ID (Azure Active Directory) account"
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      },
      "notesInFlow": false,
      "typeVersion": 4.2
    },
    {
      "id": "eeb82b32-5d48-44c3-8bbf-9eb65312469f",
      "name": "Microsoft Entra ID 사용자 쿼리",
      "type": "n8n-nodes-base.httpRequestTool",
      "notes": "This node sends a filtered query to Microsoft Entra ID (Azure AD) to find user accounts matching specific criteria provided by the AI agent.",
      "position": [
        800,
        40
      ],
      "parameters": {
        "url": "https://graph.microsoft.com/v1.0/users",
        "options": {},
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "$filter",
              "value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Value', ``, 'string') }}"
            }
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        },
        "toolDescription": "Queries Microsoft Entra ID user accounts",
        "nodeCredentialType": "microsoftEntraOAuth2Api"
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        "microsoftEntraOAuth2Api": {
          "id": "vxWcatwYvtkis0zv",
          "name": "Microsoft Entra ID (Azure Active Directory) account"
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      "typeVersion": 4.2
    },
    {
      "id": "3c6c611c-2dc6-40a7-9815-c361e13ac368",
      "name": "스티커 노트2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        -100
      ],
      "parameters": {
        "width": 1000,
        "height": 240,
        "content": "## Vector Store Search"
      },
      "typeVersion": 1
    },
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      "name": "스티커 노트3",
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      "position": [
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      ],
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        "width": 1500,
        "height": 520,
        "content": "## Agent"
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      "name": "공통 필드 설정2",
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      "notes": "This node sets the required Azure-related configuration variables like subscription ID, resource group, and AI search service name that will be used later in the workflow.",
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      ],
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        "options": {},
        "assignments": {
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