Construir un asistente de soporte técnico de IA integrando Azure Search, Entra ID y Jira

• •Punto final de HTTP Webhook (n8n generará automáticamente)
• •Pueden requerirse credenciales de autenticación para la API de destino
• •Clave de API de Google Gemini

{
  "meta": {
    "instanceId": "24ca526572eca60ee26bbee4ba7087b1023a6874af4ebeed61b2d126e50e531b",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "0f922d64-d8c9-4480-a6cd-658d2728e121",
      "name": "Cuando se recibe un mensaje de chat",
      "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,
        -140
      ],
      "webhookId": "0836d692-53dd-4283-82e6-102b5ca71220",
      "parameters": {
        "public": true,
        "options": {},
        "authentication": "n8nUserAuth",
        "initialMessages": "Hello, what can I help you with today?"
      },
      "typeVersion": 1.1
    },
    {
      "id": "cb8d7008-5351-4758-be3e-485bce521a67",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        60,
        80
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-flash-preview-05-20"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "ARYVKWu9TZzwQ3fB",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d02e4e7d-8d63-44a6-828b-648f80c2223e",
      "name": "Memoria Simple",
      "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": "Crear ticket Jira",
      "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": "Agente de Soporte TI",
      "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": "Al cargar conocimiento",
      "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": "={{ $form_response }}"
            }
          }
        },
        "formTitle": "IT Support Agent Knowledge",
        "formFields": {
          "values": [
            {
              "fieldType": "file",
              "fieldLabel": "Documents",
              "requiredField": true,
              "acceptFileTypes": ".txt,.md"
            }
          ]
        },
        "responseMode": "lastNode"
      },
      "typeVersion": 2.2
    },
    {
      "id": "2bd73569-dbf6-43c0-b23d-5345dd5daf63",
      "name": "Separar archivos binarios",
      "type": "n8n-nodes-base.splitOut",
      "notes": "This node separates out each uploaded file from the form trigger so they can be processed one by one. It prepares binary documents for downstream decoding and transformation.",
      "position": [
        -160,
        -500
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "$binary"
      },
      "typeVersion": 1
    },
    {
      "id": "e13fc33f-e203-4a52-895d-dfe8dde68e9f",
      "name": "Obtener incrustaciones (embeddings)",
      "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": "Preparar contenido",
      "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,
        -500
      ],
      "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": "Nota adhesiva",
      "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": "Al hacer clic en 'Probar flujo de trabajo'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -300,
        -820
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "21970d41-85ef-4cb0-a77c-b2f3ba5d278c",
      "name": "Establecer campos comunes",
      "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": "Crear servicio Azure AI Search",
      "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": "Obtener clave de administrador Azure AI Search",
      "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"
            }
          ]
        },
        "nodeCredentialType": "microsoftOAuth2Api"
      },
      "credentials": {
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
          "name": "Microsoft Azure"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "66d8fb83-562f-42ea-ab18-3df5551404d7",
      "name": "Crear índice vectorial Azure AI",
      "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": "Nota adhesiva 1",
      "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": "Obtener clave de administrador Azure AI Search 1",
      "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": "Establecer campos comunes 1",
      "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>"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "fbaa77a9-58f9-4179-afb2-53a2003b3e57",
      "name": "Cargar incrustaciones en almacén vectorial",
      "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": "Obtener incrustaciones 1",
      "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"
            }
          ]
        },
        "nodeCredentialType": "openAiApi"
      },
      "credentials": {
        "openAiApi": {
          "id": "pDTcyVld8cyLwQKJ",
          "name": "OpenAi account"
        },
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
          "name": "Microsoft Azure"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3c0d7268-d721-4bef-a0bf-1f51084ff627",
      "name": "Búsqueda semántica",
      "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",
      "parameters": {
        "path": "663762b4-cdd6-403c-9aa1-7c192da14480",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "lastNode"
      },
      "typeVersion": 2
    },
    {
      "id": "678d364c-3a6e-4b30-95cd-c6ce5fd12851",
      "name": "Invocar consulta en almacén vectorial 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": "Obtener clave de administrador Azure AI Search 2",
      "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": {
          "parameters": [
            {
              "name": "api-version",
              "value": "2023-11-01"
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        },
        "nodeCredentialType": "microsoftOAuth2Api"
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      "credentials": {
        "microsoftOAuth2Api": {
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      },
      "typeVersion": 4.2
    },
    {
      "id": "a816d8f2-f184-401d-b4b8-7c0ed3238c85",
      "name": "Habilitar búsqueda semántica",
      "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",
        "queryParameters": {
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              "name": "api-version",
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      },
      "typeVersion": 4.2
    },
    {
      "id": "514f2ab6-960b-4f7c-8a2a-36073f0d8377",
      "name": "Consultar índice Azure AI Search",
      "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": {
          "parameters": [
            {
              "name": "api-version",
              "value": "2023-11-01"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "api-key",
              "value": "={{ $json.primaryKey }}"
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          ]
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      },
      "typeVersion": 4.2
    },
    {
      "id": "f70b6cf0-7459-42e3-8fc3-0f3e42afbac1",
      "name": "Restablecer contraseña de usuario",
      "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/{{ $fromAI('entra_id_username') }}",
        "method": "PATCH",
        "options": {},
        "jsonBody": "{\n  \"passwordProfile\": {\n    \"forceChangePasswordNextSignIn\": true,\n    \"password\": \"NewPassword123!\"\n  }\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "toolDescription": "Reset Microsoft Entra ID password. Always tell the user the password you reset the account to when successful.",
        "nodeCredentialType": "microsoftEntraOAuth2Api"
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      "credentials": {
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
          "name": "Microsoft Azure"
        },
        "microsoftEntraOAuth2Api": {
          "id": "vxWcatwYvtkis0zv",
          "name": "Microsoft Entra ID (Azure Active Directory) account"
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      },
      "notesInFlow": false,
      "typeVersion": 4.2
    },
    {
      "id": "eeb82b32-5d48-44c3-8bbf-9eb65312469f",
      "name": "Consultar usuarios de Microsoft Entra ID",
      "type": "n8n-nodes-base.httpRequestTool",
      "notes": "This node sends a filtered query to Microsoft Entra ID (Azure AD) to find user accounts matching specific criteria provided by the AI agent.",
      "position": [
        800,
        40
      ],
      "parameters": {
        "url": "https://graph.microsoft.com/v1.0/users",
        "options": {},
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "$filter",
              "value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('parameters0_Value', ``, 'string') }}"
            }
          ]
        },
        "toolDescription": "Queries Microsoft Entra ID user accounts",
        "nodeCredentialType": "microsoftEntraOAuth2Api"
      },
      "credentials": {
        "microsoftOAuth2Api": {
          "id": "HjJ23rEeLjDjMgAg",
          "name": "Microsoft Azure"
        },
        "microsoftEntraOAuth2Api": {
          "id": "vxWcatwYvtkis0zv",
          "name": "Microsoft Entra ID (Azure Active Directory) account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3c6c611c-2dc6-40a7-9815-c361e13ac368",
      "name": "Nota adhesiva 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1120,
        -100
      ],
      "parameters": {
        "width": 1000,
        "height": 240,
        "content": "## Vector Store Search"
      },
      "typeVersion": 1
    },
    {
      "id": "49e40637-47ca-4c42-a112-4ac2c3b1b074",
      "name": "Nota adhesiva 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -460,
        -220
      ],
      "parameters": {
        "width": 1500,
        "height": 520,
        "content": "## Agent"
      },
      "typeVersion": 1
    },
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      "name": "Establecer campos comunes 2",
      "type": "n8n-nodes-base.set",
      "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.",
      "position": [
        -160,
        -140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
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              "id": "3aba9081-6827-4df2-8a3b-eb2a447c5c0d",
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              "name": "azure_ai_search_location",
              "type": "string",
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              "name": "azure_ai_search_index_name",
              "type": "string",
              "value": "<azure ai search index name>"
            },
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              "id": "df0e7230-488d-4926-ae37-abd0fd8be3e2",
              "name": "azure_resource_group",
              "type": "string",
              "value": "<azure resource group>"
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              "id": "1b7d93e0-ac3a-4e94-ba1c-efb4ea7bca11",
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              "type": "string",
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