Intelligenter Wissensassistent

Experte

Dies ist ein Support, AI-Bereich Automatisierungsworkflow mit 26 Nodes. Hauptsächlich werden Set, Code, Telegram, GoogleDocs, ManualTrigger und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Intelligenten Wissensassistenten auf Telegram mit GPT-4o-mini, RAG und RLHF bauen, mit MongoDB integriert

Voraussetzungen
  • Telegram Bot Token
  • OpenAI API Key
  • MongoDB-Verbindungsstring
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "meta": {
    "instanceId": "074f90e2bb5206c5f405a8aac6551497c72005283a5405fb08207b1b3a78c2b8",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "e39a0b25-53ce-4ac0-9c93-7750b8e6105b",
      "name": "Wissensbasis-Agent",
      "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": "OpenAI Chat-Modell",
      "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": "Dokumentenabschnitt-Lader",
      "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": "Dokumenten-Chunker",
      "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": "OpenAI Embeddings-Generator",
      "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": "Google Docs-Importer",
      "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": "Haftnotiz",
      "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": "Haftnotiz1",
      "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": "Haftnotiz2",
      "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": "Bei Klick auf \"Workflow ausführen\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        0,
        -520
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "4235ba8c-d671-40b8-b3a4-d7cccac36d54",
      "name": "MongoDB Chat-Speicher",
      "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": "Standard-Datenlader",
      "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": "Rekursiver Zeichentext-Splitter",
      "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": "Positive Interaktionen suchen",
      "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": "Dokumentation durchsuchen",
      "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": "Negative Interaktionen suchen",
      "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": "Nachricht empfangen auf 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": "Nachricht senden auf Telegram, Auf Feedback warten",
      "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": "={{ $json.output }}",
        "options": {
          "appendAttribution": false
        },
        "operation": "sendAndWait",
        "approvalOptions": {
          "values": {
            "approvalType": "double"
          }
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "wb9guorEXe6W5V8C",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "ef40200d-5f19-4199-8ae3-9f2e0f52ac1b",
      "name": "Feedback-Daten abbilden",
      "type": "n8n-nodes-base.code",
      "position": [
        820,
        0
      ],
      "parameters": {
        "jsCode": "let response;\n\nif ($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": "Feedback-Felder für Speicherung setzen",
      "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": "Eingebettetes Chat-Feedback übermitteln",
      "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": "OpenAI Embeddings-Generator1",
      "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": "MongoDB Dokumentation-Einfüger",
      "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
          }
        ]
      ]
    },
    "84a95dfb-6cc4-4a18-be40-6fa201073750": {
      "ai_tool": [
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Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Experte - Support, Künstliche Intelligenz

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes26
Kategorie2
Node-Typen14
Schwierigkeitsbeschreibung

Für fortgeschrittene Benutzer, komplexe Workflows mit 16+ Nodes

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.

Externe Links
Auf n8n.io ansehen

Diesen Workflow teilen

Kategorien

Kategorien: 34