Asistente de conocimiento inteligente

Avanzado

Este es unSupport, AIflujo de automatización del dominio deautomatización que contiene 26 nodos.Utiliza principalmente nodos como Set, Code, Telegram, GoogleDocs, ManualTrigger, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Construye un asistente de conocimiento inteligente en Telegram usando GPT-4o-mini, RAG y RLHF, integrado con MongoDB

Requisitos previos
  • Bot Token de Telegram
  • Clave de API de OpenAI
  • Cadena de conexión de MongoDB
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "meta": {
    "instanceId": "074f90e2bb5206c5f405a8aac6551497c72005283a5405fb08207b1b3a78c2b8",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "e39a0b25-53ce-4ac0-9c93-7750b8e6105b",
      "name": "Agente de Base de Conocimiento",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        220,
        0
      ],
      "parameters": {
        "text": "={{ $json.message.text }}",
        "options": {
          "systemMessage": "You are the AI assistant for a company specializing in advanced technology solutions. Your task is to help internal users by consulting the official product documentation for the company’s platforms.\n\nAvailable References:\n\nproductDocs: Step-by-step guides, technical configurations, and official manuals from the developer documentation.\n\nfeedbackPositive: Previous responses rated positively by users, useful as examples for generating high-quality answers.\n\nfeedbackNegative: Previous responses rated negatively by users. Use this tool to avoid making similar mistakes in your replies.\n\nCurrently, there are no use cases or update history documented in the available materials.\n\nBehavior Rules\n\nSearch & Response:\n\nAlways consult the official documentation first using the productDocs tool.\n\nAlso search feedbackPositive for highly rated previous responses to similar questions.\n\nCheck feedbackNegative to see if similar answers were poorly rated, and avoid repeating those mistakes.\n\nIf multiple tools return relevant results, combine the information to provide the best answer. If only one tool returns relevant content, use that as your source.\n\nRespond directly and clearly, explaining exactly how to perform the requested task.\n\nDo not filter by category unless the user explicitly asks.\n\nLanguage (Strict Per-Message Rule):\n\nDetect the language of each incoming message individually.\n\nRespond in the same language as the most recent message.\n\nDo not use the language of previous messages or conversation history to decide the language.\n\nLinks (Not Allowed):\n\nNever provide links, even if the user requests them.\n\nIf a user asks for a link, respond with:\n“I cannot provide links. If you need specific information, let me know and I will help with the details.”\n\nResponse Style:\n\nUse a professional, direct, and human tone.\n\nKeep responses between 2 and 4 lines unless the user asks for more detail.\n\nDo not make up information that isn’t in MongoDB.\n\nIf your answer contains numbered steps or lists, always number them sequentially (1, 2, 3...) without skipping or repeating numbers, even if the original content uses a different numbering style."
        },
        "promptType": "define"
      },
      "typeVersion": 1.9
    },
    {
      "id": "775b7991-88f3-4959-a068-3fb2b667567e",
      "name": "Modelo de Chat OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        200,
        180
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "cJRah9hGPQ7eX4jd",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "4c2e0ea6-f5d0-4d5b-a065-606b2dc2cff5",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        440,
        460
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "cJRah9hGPQ7eX4jd",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "2f813af6-3432-4201-93d0-ff503013642e",
      "name": "Cargador de Secciones de Documento",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        580,
        -340
      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "doc_id",
                "value": "={{ $json.documentId }}"
              }
            ]
          }
        },
        "jsonData": "={{ $json.content }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "c6386d7b-f3cb-4884-9477-a69e9743e6c6",
      "name": "Fragmentador de Documentos",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        560,
        -220
      ],
      "parameters": {
        "options": {
          "splitCode": "markdown"
        },
        "chunkSize": 3000,
        "chunkOverlap": 200
      },
      "typeVersion": 1
    },
    {
      "id": "4ff1a843-5e1c-4a23-bdf3-2fdc91ba7032",
      "name": "Generador de Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        440,
        -340
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "cJRah9hGPQ7eX4jd",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "64624ed6-cbb2-43c1-b348-df92f26d8efe",
      "name": "Importador de Docs Google",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        220,
        -520
      ],
      "parameters": {
        "operation": "get",
        "documentURL": "https://docs.google.com/document/d/1gvgp71e9edob8WLqFIYCdzC7kUq3pLO37VKb-a-vVW4/edit?tab=t.0"
      },
      "credentials": {
        "googleDocsOAuth2Api": {
          "id": "FNXMwqMf7vl1WUFj",
          "name": "Google Docs account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "09c262ab-ba89-429c-b8a8-41c3ae79d97c",
      "name": "Nota Adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -420,
        -500
      ],
      "parameters": {
        "color": 5,
        "content": "Run this workflow manually to import and index Google Docs product documentation into MongoDB with vector embeddings for fast search."
      },
      "typeVersion": 1
    },
    {
      "id": "f309ff4a-194f-413a-b8f5-d8210cb5e0c6",
      "name": "Nota Adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -420,
        40
      ],
      "parameters": {
        "color": 4,
        "height": 180,
        "content": "This workflow uses retrieval-augmented generation (RAG) to answer user questions by searching the MongoDB vector store and generating AI responses enhanced with Telegram-based RLHF feedback."
      },
      "typeVersion": 1
    },
    {
      "id": "caf481b3-7a19-40df-b5fb-52e74a8edd73",
      "name": "Nota Adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1800,
        -480
      ],
      "parameters": {
        "width": 520,
        "height": 1040,
        "content": "Documentation Search Index\n\n{\n  \"mappings\": {\n    \"dynamic\": false,\n    \"fields\": {\n      \"_id\": {\n        \"type\": \"string\"\n      },\n      \"text\": {\n        \"type\": \"string\"\n      },\n      \"embedding\": {\n        \"type\": \"knnVector\",\n        \"dimensions\": 1536,\n        \"similarity\": \"cosine\"\n      },\n      \"source\": {\n        \"type\": \"string\"\n      },\n      \"doc_id\": {\n        \"type\": \"string\"\n      }\n    }\n  }\n}\n\n\nFeedback Search Index\n\n{\n  \"mappings\": {\n    \"dynamic\": false,\n    \"fields\": {\n      \"prompt\": {\n        \"type\": \"string\"\n      },\n      \"response\": {\n        \"type\": \"string\"\n      },\n      \"text\": {\n        \"type\": \"string\"\n      },\n      \"embedding\": {\n        \"type\": \"knnVector\",\n        \"dimensions\": 1536,\n        \"similarity\": \"cosine\"\n      },\n      \"feedback\": {\n        \"type\": \"token\"\n      }\n    }\n  }\n}\n"
      },
      "typeVersion": 1
    },
    {
      "id": "8a3abf9e-6f3f-47cf-b9ec-bb9da9835e5c",
      "name": "Al hacer clic en \"Ejecutar Flujo de Trabajo\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        0,
        -520
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "4235ba8c-d671-40b8-b3a4-d7cccac36d54",
      "name": "Memoria de Chat MongoDB",
      "type": "@n8n/n8n-nodes-langchain.memoryMongoDbChat",
      "position": [
        320,
        180
      ],
      "parameters": {
        "sessionKey": "={{ $('Receive Message on Telegram').item.json.message.chat.id }}",
        "sessionIdType": "customKey",
        "collectionName": "n8n-template-chat-history"
      },
      "credentials": {
        "mongoDb": {
          "id": "7riubYENUDZsmjyK",
          "name": "MongoDB account 2"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "000e272a-3f19-4c17-86b5-07505eba2c3b",
      "name": "Embeddings OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        160,
        440
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "cJRah9hGPQ7eX4jd",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "dca02c04-2921-4982-83a3-6b2f6fb32663",
      "name": "Cargador de Datos Predeterminado",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1400,
        180
      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "prompt",
                "value": "={{ $json.prompt }}"
              },
              {
                "name": "response",
                "value": "={{ $json.response }}"
              },
              {
                "name": "feedback",
                "value": "={{ $json.feedback }}"
              }
            ]
          }
        },
        "jsonData": "={{ $json.text }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "757073e3-f8b5-42b5-ab02-d310d5f6e8a4",
      "name": "Divisor de Texto Recursivo de Caracteres",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        1380,
        300
      ],
      "parameters": {
        "options": {},
        "chunkSize": 4000
      },
      "typeVersion": 1
    },
    {
      "id": "588ef94b-9723-440a-ac13-d97d744ae26d",
      "name": "Embeddings OpenAI3",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        320,
        720
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "cJRah9hGPQ7eX4jd",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "355654d8-95e2-4337-9b1f-af2a08573f08",
      "name": "Buscar Interacciones Positivas",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
      "position": [
        160,
        320
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "feedback",
                "value": "positive"
              }
            ]
          }
        },
        "toolName": "feedbackPositive",
        "mongoCollection": {
          "__rl": true,
          "mode": "list",
          "value": "n8n-template-feedback",
          "cachedResultName": "n8n-template-feedback"
        },
        "toolDescription": "Retrieve previous examples of similar questions that were rated positively by users. Use this tool before responding to improve your answer based on those approved examples.",
        "vectorIndexName": "template-feedback-search"
      },
      "credentials": {
        "mongoDb": {
          "id": "7riubYENUDZsmjyK",
          "name": "MongoDB account 2"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "84a95dfb-6cc4-4a18-be40-6fa201073750",
      "name": "Buscar Documentación",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
      "position": [
        440,
        320
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "options": {},
        "toolName": "productDocs",
        "mongoCollection": {
          "__rl": true,
          "mode": "list",
          "value": "n8n-template",
          "cachedResultName": "n8n-template"
        },
        "toolDescription": "retreive documentation",
        "vectorIndexName": "data_index"
      },
      "credentials": {
        "mongoDb": {
          "id": "7riubYENUDZsmjyK",
          "name": "MongoDB account 2"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "f2001c81-081b-4417-8349-3db459c0f191",
      "name": "Buscar Interacciones Negativas",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
      "position": [
        240,
        580
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "feedback",
                "value": "negative"
              }
            ]
          }
        },
        "toolName": "feedbackNegative",
        "mongoCollection": {
          "__rl": true,
          "mode": "list",
          "value": "n8n-template-feedback",
          "cachedResultName": "n8n-template-feedback"
        },
        "toolDescription": "Retrieve previous examples of similar questions that were rated negatively by users. Use this tool before responding to avoid generating answers similar to those that did not work well in the past.",
        "vectorIndexName": "template-feedback-search"
      },
      "credentials": {
        "mongoDb": {
          "id": "7riubYENUDZsmjyK",
          "name": "MongoDB account 2"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "1a0de194-3508-4d21-b1a2-35c3b4a998c1",
      "name": "Recibir Mensaje en Telegram",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
        0,
        0
      ],
      "webhookId": "fff1b90c-59ce-406b-a7f0-08953c90c0ce",
      "parameters": {
        "updates": [
          "message"
        ],
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "id": "wb9guorEXe6W5V8C",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "92458560-feb5-40df-b52a-ec1c5156829d",
      "name": "Enviar Mensaje en Telegram, Esperar Retroalimentación",
      "type": "n8n-nodes-base.telegram",
      "position": [
        600,
        0
      ],
      "webhookId": "ed8fc221-70ad-47df-b70e-6667c580553b",
      "parameters": {
        "chatId": "={{ $('Receive Message on Telegram').item.json.message.chat.id }}",
        "message": "={{ $json.output }}",
        "options": {
          "appendAttribution": false
        },
        "operation": "sendAndWait",
        "approvalOptions": {
          "values": {
            "approvalType": "double"
          }
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "wb9guorEXe6W5V8C",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "ef40200d-5f19-4199-8ae3-9f2e0f52ac1b",
      "name": "Mapear datos de retroalimentación",
      "type": "n8n-nodes-base.code",
      "position": [
        820,
        0
      ],
      "parameters": {
        "jsCode": "let response;\n\nif ($input.first().json.data.approved) {\n  response = \"positive\"\n} \nelse {\n  response = \"negative\"\n}\n\nreturn {\n  feedback: response\n}\n"
      },
      "typeVersion": 2
    },
    {
      "id": "d688073c-9a97-4b39-9640-c368cccf3491",
      "name": "Establecer campos de retroalimentación para almacenamiento en colección",
      "type": "n8n-nodes-base.set",
      "position": [
        1040,
        0
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "prompt",
              "value": "={{ $('Receive Message on Telegram').item.json.message.text }}"
            },
            {
              "name": "response",
              "value": "={{ $('Knowledge Base Agent').item.json.output }}"
            },
            {
              "name": "text",
              "value": "=Prompt: {{ $('Receive Message on Telegram').item.json.message.text }}. Completion: {{ $('Knowledge Base Agent').item.json.output }}"
            },
            {
              "name": "feedback",
              "value": "={{ $json.feedback }}"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "id": "9907480f-3e5d-4240-adbb-790be2d68496",
      "name": "Enviar retroalimentación de chat embebida",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
      "position": [
        1260,
        0
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "mongoCollection": {
          "__rl": true,
          "mode": "list",
          "value": "n8n-template-feedback",
          "cachedResultName": "n8n-template-feedback"
        },
        "vectorIndexName": "template-feedback-search",
        "embeddingBatchSize": 1
      },
      "credentials": {
        "mongoDb": {
          "id": "7riubYENUDZsmjyK",
          "name": "MongoDB account 2"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "1a470ad3-845a-4890-b103-65a21b1940de",
      "name": "Generador de Embeddings OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        1260,
        180
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "cJRah9hGPQ7eX4jd",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "fdc22256-f014-4ed0-8781-1abb20134b1a",
      "name": "Insertador de Documentación MongoDB",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
      "position": [
        440,
        -520
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "mongoCollection": {
          "__rl": true,
          "mode": "list",
          "value": "n8n-template",
          "cachedResultName": "n8n-template"
        },
        "vectorIndexName": "data_index"
      },
      "credentials": {
        "mongoDb": {
          "id": "7riubYENUDZsmjyK",
          "name": "MongoDB account 2"
        }
      },
      "typeVersion": 1.1
    }
  ],
  "pinData": {},
  "connections": {
    "c6386d7b-f3cb-4884-9477-a69e9743e6c6": {
      "ai_textSplitter": [
        [
          {
            "node": "2f813af6-3432-4201-93d0-ff503013642e",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "4c2e0ea6-f5d0-4d5b-a065-606b2dc2cff5": {
      "ai_embedding": [
        [
          {
            "node": "84a95dfb-6cc4-4a18-be40-6fa201073750",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "ef40200d-5f19-4199-8ae3-9f2e0f52ac1b": {
      "main": [
        [
          {
            "node": "d688073c-9a97-4b39-9640-c368cccf3491",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "775b7991-88f3-4959-a068-3fb2b667567e": {
      "ai_languageModel": [
        [
          {
            "node": "e39a0b25-53ce-4ac0-9c93-7750b8e6105b",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "000e272a-3f19-4c17-86b5-07505eba2c3b": {
      "ai_embedding": [
        [
          {
            "node": "355654d8-95e2-4337-9b1f-af2a08573f08",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "588ef94b-9723-440a-ac13-d97d744ae26d": {
      "ai_embedding": [
        [
          {
            "node": "f2001c81-081b-4417-8349-3db459c0f191",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "dca02c04-2921-4982-83a3-6b2f6fb32663": {
      "ai_document": [
        [
          {
            "node": "9907480f-3e5d-4240-adbb-790be2d68496",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "4235ba8c-d671-40b8-b3a4-d7cccac36d54": {
      "ai_memory": [
        [
          {
            "node": "e39a0b25-53ce-4ac0-9c93-7750b8e6105b",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "64624ed6-cbb2-43c1-b348-df92f26d8efe": {
      "main": [
        [
          {
            "node": "fdc22256-f014-4ed0-8781-1abb20134b1a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "e39a0b25-53ce-4ac0-9c93-7750b8e6105b": {
      "main": [
        [
          {
            "node": "92458560-feb5-40df-b52a-ec1c5156829d",
            "type": "main",
            "index": 0
          }
        ]
      ]
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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 - Soporte, Inteligencia Artificial

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos26
Categoría2
Tipos de nodos14
Descripción de la dificultad

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

Autor
NovaNode

NovaNode

@thomasgpt

NovaNode is a software factory building scalable AI for modern businesses. We specialize in omni-channel AI agents that automate customer support, sales, and operations across voice, WhatsApp, email, and chat. We serve both enterprise clients and SMEs, balancing deep integrations with speed and cost-efficiency. By combining automation with adaptability, we help companies scale faster and operate smarter. NovaNode is where AI meets execution.

Enlaces externos
Ver en n8n.io

Compartir este flujo de trabajo

Categorías

Categorías: 34