Chatbot Slack pour les questions et réponses sur le code de conduite (basé sur RAG)

Name: Chatbot Slack pour les questions et réponses sur le code de conduite (basé sur RAG)
Rating: 4.5 (10 reviews)
Author: Trung Tran

Avancé

Ceci est unAI RAG, Multimodal AIworkflow d'automatisation du domainecontenant 24 nœuds.Utilise principalement des nœuds comme If, Code, Slack, Webhook, FormTrigger. Utiliser GPT-4 et la technologie RAG pour répondre aux questions sur le code de conduite dans Slack

Prérequis

•Token Bot Slack ou URL Webhook
•Point de terminaison HTTP Webhook (généré automatiquement par n8n)
•Informations d'identification Google Drive API
•Clé API OpenAI

Nœuds utilisés (24)

DocumentDefaultDataLoader

Catégorie

RAG IA

IA Multimodale

Aperçu du workflow

Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement

Est-ce un message utilisateur ?

Aucune opération, ne rien faire

Webhook

Modèle gpt4-1

Envoyer le résultat dans le canal mentionné

Obtenir les informations sur un utilisateur

Chargeur de données par défaut

Insérer des données dans le magasin

Code

Téléchargez votre document PDF ici

Sauvegarder le(s) document(s) vers Google Drive

Embeddings OpenAI

Outil d'interrogation de données

Agent du Code de Conduite

React Flow

Exporter le workflow

Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow

{
  "id": "rFm9WyEEbE0Cbp4V",
  "meta": {
    "instanceId": "4a2e6764ba7a6bc9890d9225f4b21d570ce88fc9bd57549c89057fcee58fed0f",
    "templateId": "1961",
    "templateCredsSetupCompleted": true
  },
  "name": "Code of Conduct Q&A Slack Chatbot with RAG Powered ",
  "tags": [
    {
      "id": "mrjg6I7yRRonHQkj",
      "name": "slack",
      "createdAt": "2025-08-22T05:19:22.985Z",
      "updatedAt": "2025-08-22T05:19:22.985Z"
    }
  ],
  "nodes": [
    {
      "id": "d8182642-5598-4fae-8a72-13f63d9436a2",
      "name": "Est-ce un message utilisateur ?",
      "type": "n8n-nodes-base.if",
      "position": [
        -3224,
        1192
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "1def7344-ce55-450d-a85a-468f746fe31f",
              "operator": {
                "type": "string",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $json.body.event.type }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "d2ae5571-62c6-4ada-8807-0e53d90ae6c5",
      "name": "Aucune opération, ne rien faire",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -2760,
        1392
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "8794702d-9c02-40ba-8a62-acd6ccb8df08",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -3536,
        1200
      ],
      "webhookId": "4e9d4215-802a-4322-ad54-67ce21d5c1e3",
      "parameters": {
        "path": "4e9d4215-802a-4322-ad54-67ce21d5c1e3",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "lastNode"
      },
      "typeVersion": 2
    },
    {
      "id": "b9c6502a-8232-4840-a252-0f2889d96d7d",
      "name": "Modèle gpt4-1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -2912,
        1008
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "PPSwAKeLQYgAPobT",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "372bc24d-4510-4eb2-9ef5-fbaba46e18fc",
      "name": "Envoyer le résultat dans le canal mentionné",
      "type": "n8n-nodes-base.slack",
      "position": [
        -2160,
        992
      ],
      "webhookId": "9e363320-9c63-4ed9-9438-31d5fdc030c9",
      "parameters": {
        "text": "=<@{{ $json.id }}> {{ $('Code Of Conduct Agent').item.json.output }}",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $('Webhook').item.json.body.event.channel }}"
        },
        "otherOptions": {
          "mrkdwn": true
        }
      },
      "credentials": {
        "slackApi": {
          "id": "3MfZsxrz9SluxmDt",
          "name": "COC Bot"
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "a9a7c510-4b00-4fcb-988a-f6b126a9564a",
      "name": "Obtenir les informations sur un utilisateur",
      "type": "n8n-nodes-base.slack",
      "position": [
        -2384,
        992
      ],
      "webhookId": "4b89e5a8-34cc-4d7b-a91b-465e7a864875",
      "parameters": {
        "user": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $('Webhook').item.json.body.event.user }}"
        },
        "resource": "user",
        "authentication": "oAuth2"
      },
      "credentials": {
        "slackOAuth2Api": {
          "id": "4JSKt9sIRV1KGswQ",
          "name": "Slack account"
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "5821abdb-fba3-47fd-986e-29e0282855ee",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -4928,
        592
      ],
      "parameters": {
        "color": 4,
        "width": 1056,
        "height": 2144,
        "content": "\n# 📘 Code of Conduct Q&A Chatbot (RAG-powered for Slack)\n[![Watch the video](https://wisestackai.s3.ap-southeast-1.amazonaws.com/code-of-conduct-qanda-chatbot-rag-powered-for-slack.jpg)](https://www.youtube.com/watch?v=2EWgC5UKiBQ)\n> Empower employees to instantly access and understand the company’s Code of Conduct via a Slack chatbot, powered by Retrieval-Augmented Generation (RAG) and LLMs.\n\n## 🧑‍💼 Who’s it for\n\nThis workflow is designed for:\n- **HR and compliance teams** to automate policy-related inquiries\n- **Employees** who want quick answers to Code of Conduct questions directly inside Slack\n- **Startups or enterprises** that need internal compliance self-service tools powered by AI\n\n## ⚙️ How it works / What it does\n\nThis RAG-powered Slack chatbot answers user questions based on your uploaded **Code of Conduct PDF** using GPT-4 and embedded document chunks. Here's the flow:\n\n1. **Receive Message from Slack:** A webhook triggers when a message is posted in Slack.\n2. **Check if it’s a valid query:** Filters out non-user messages (e.g., bot mentions).\n3. **Run Agent with RAG:**\n   - Uses GPT-4 with `Query Data Tool` to retrieve relevant document chunks.\n   - Returns a well-formatted, context-aware answer.\n4. **Send Response to Slack:** Fetches user info and posts the answer back in the same channel.\n5. **Document Upload Flow:**\n   - HR can upload the PDF Code of Conduct file.\n   - It’s parsed, chunked, embedded using OpenAI, and stored for future query retrieval.\n   - A backup copy is saved to Google Drive.\n\n## 🛠️ How to set up\n\n1. **Prepare your environment:**\n   - Slack Bot token & webhook configured (Sample slack app manifest: https://wisestackai.s3.ap-southeast-1.amazonaws.com/slack_bot_manifest.json)\n   - OpenAI API key (for GPT-4 & embedding)\n   - Google Drive credentials (optional for backup)\n\n2. **Upload the Code of Conduct PDF:**\n   - Use the designated node to upload your document (Sample file: https://wisestackai.s3.ap-southeast-1.amazonaws.com/20220419-ingrs-code-of-conduct-policy-en.pdf)\n   - This triggers chunking → embedding → data store.\n\n3. **Deploy the chatbot:**\n   - Host the webhook and connect it to your Slack app.\n   - Share the command format with employees (e.g., `@CodeBot Can I accept gifts from partners?`)\n\n4. **Monitor and iterate:**\n   - Improve chunk size or embed model if queries aren’t accurate.\n   - Review unanswered queries to enhance coverage.\n\n## 📋 Requirements\n\n- n8n (Self-hosted or Cloud)\n- Slack App (with `chat:write`, `users:read`, `commands`)\n- OpenAI account (embedding + GPT-4 access)\n- Google Drive integration (for backups)\n- Uploaded Code of Conduct in PDF format\n\n## 🧩 How to customize the workflow\n\n| What to Customize            | How to Do It                                                                 |\n|-----------------------------|------------------------------------------------------------------------------|\n| 🔤 **Prompt style**           | Edit the System & User prompts inside the `Code Of Conduct Agent` node       |\n| 📄 **Document types**         | Upload additional policy PDFs and tag them differently in metadata          |\n| 🤖 **Agent behavior**         | Tune GPT temperature or replace with different LLM                          |\n| 💬 **Slack interaction**      | Customize message formats or trigger phrases                                |\n| 📁 **Data Store engine**      | Swap to Pinecone, Weaviate, Supabase, etc. depending on use case            |\n| 🌐 **Multilingual support**   | Preprocess text and support locale detection via Slack metadata             |"
      },
      "typeVersion": 1
    },
    {
      "id": "e06f197d-f4e7-4e29-96c9-5c44dea773d5",
      "name": "Chargeur de données par défaut",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        -3216,
        1608
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1.1
    },
    {
      "id": "24bb84e8-1ab4-42d9-9e8e-088590882f45",
      "name": "Insérer des données dans le magasin",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
      "position": [
        -3312,
        1384
      ],
      "parameters": {
        "mode": "insert",
        "memoryKey": {
          "__rl": true,
          "mode": "list",
          "value": "vector_store_key",
          "cachedResultName": "vector_store_key"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "de57e328-271a-42a5-914a-073ee5762a54",
      "name": "Code",
      "type": "n8n-nodes-base.code",
      "position": [
        -3224,
        1784
      ],
      "parameters": {
        "jsCode": "const data = $input.item.json;\nconst binaryData = $input.item.binary;\n\nlet output = [];\n\nObject.keys(binaryData)\n  .filter(label => label.startsWith(\"CV_\"))\n  .forEach(label => {\n    output.push({\n      json: data,\n      binary: { data: binaryData[label] }\n    });\n  });\n\nreturn output;"
      },
      "typeVersion": 2
    },
    {
      "id": "264b1310-b80d-4e92-88da-218f261a9687",
      "name": "Téléchargez votre document PDF ici",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -3536,
        1636
      ],
      "webhookId": "82848bc4-5ea2-4e5a-8bb6-3c09b94a8c5d",
      "parameters": {
        "options": {},
        "formTitle": "Upload your data to test RAG",
        "formFields": {
          "values": [
            {
              "fieldType": "file",
              "fieldLabel": "Upload your file(s)",
              "requiredField": true,
              "acceptFileTypes": ".pdf"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "f1b4fece-cac6-49b7-ad47-a1a8ced08ba9",
      "name": "Sauvegarder le(s) document(s) vers Google Drive",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        -2760,
        1784
      ],
      "parameters": {
        "name": "=document-{{ $now.toFormat(\"yyyyLLdd-HHmmss\") }}-{{$binary.data.fileName}}",
        "driveId": {
          "__rl": true,
          "mode": "list",
          "value": "My Drive",
          "cachedResultUrl": "https://drive.google.com/drive/my-drive",
          "cachedResultName": "My Drive"
        },
        "options": {},
        "folderId": {
          "__rl": true,
          "mode": "list",
          "value": "1ObNNVJFR2vcKqP8p-ZnX_eaZy4gBHgha",
          "cachedResultUrl": "https://drive.google.com/drive/folders/1ObNNVJFR2vcKqP8p-ZnX_eaZy4gBHgha",
          "cachedResultName": "SmartIT"
        }
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "fC471es5gk5Mm900",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "73b5b601-f14a-44d7-9737-7efe05af9fa1",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        -2688,
        1216
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "PPSwAKeLQYgAPobT",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "f229958a-af79-4420-a218-0ed18e5562fc",
      "name": "Outil d'interrogation de données",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
      "position": [
        -2784,
        1008
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "toolName": "knowledge_base",
        "memoryKey": {
          "__rl": true,
          "mode": "list",
          "value": "vector_store_key"
        },
        "toolDescription": "Use this knowledge base to answer questions from the user"
      },
      "typeVersion": 1.2
    },
    {
      "id": "a6310e4a-fcc0-4814-a203-ce38b8daeff6",
      "name": "Agent du Code de Conduite",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -2896,
        784
      ],
      "parameters": {
        "text": "=You are an AI Slack chatbot for Code of Conduct Q&A.\n\nThe user has asked:\n{{ $json.body.event.text }}\n\nYour answer should be clear, professional, and easy for employees to understand.\nIf the information isn’t found in the retrieved content, say: “I couldn’t find an answer to that in the Code of Conduct. Please reach out to HR or the compliance team for clarification.”\n\nRespond in Slack-friendly format (Markdown supported).",
        "options": {
          "systemMessage": "You are an AI assistant trained to help employees understand and comply with the company's Code of Conduct. Your role is to provide clear, accurate, and friendly answers to questions based on the retrieved content from the official Code of Conduct documentation. Always reference the relevant section when possible, and avoid making assumptions beyond the retrieved data.\n\nIf the question cannot be answered from the provided data, politely respond that the information is not available and suggest contacting HR or compliance team for clarification.\n\nFormatting: \n- Use bullet points or numbered lists if helpful\n- Bold key terms or important statements\n- Keep the tone professional yet approachable\n\nNever fabricate information. Only use the content provided in the retrieved chunks."
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "executeOnce": true,
      "typeVersion": 2.1
    },
    {
      "id": "3cee5a9d-bf5c-4f8e-bbc2-abfe3087a52a",
      "name": "Note adhésive 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1920,
        784
      ],
      "parameters": {
        "width": 1056,
        "height": 560,
        "content": "![](https://wisestackai.s3.ap-southeast-1.amazonaws.com/Screenshot+2025-08-22+at+12.43.33%E2%80%AFPM.png)"
      },
      "typeVersion": 1
    },
    {
      "id": "1235b85c-8ef7-493e-a91b-84e09e09da12",
      "name": "Note adhésive 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3616,
        1824
      ],
      "parameters": {
        "height": 224,
        "content": "#### 1. 🟢 Upload PDF Document\nAllows HR/admin users to upload the official **Code of Conduct PDF** via an input node.\nSample: https://wisestackai.s3.ap-southeast-1.amazonaws.com/20220419-ingrs-code-of-conduct-policy-en.pdf"
      },
      "typeVersion": 1
    },
    {
      "id": "263a5ad7-9392-4d37-8a68-eeff78a73379",
      "name": "Note adhésive 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3072,
        1568
      ],
      "parameters": {
        "height": 128,
        "content": "#### 2. 📑 Parse PDF Content\nUses the **Default Data Loader** to read and process the uploaded PDF content into structured format."
      },
      "typeVersion": 1
    },
    {
      "id": "159e3edf-f845-49e6-9fdd-ddd7c45f3016",
      "name": "Note adhésive 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2544,
        1264
      ],
      "parameters": {
        "height": 256,
        "content": "#### 3. 🧬 Generate Embeddings (OpenAI)\n- Splits the content into smaller chunks and sends each to **OpenAI's Embedding API** for vectorization.\n- Saves the resulting vector embeddings into the connected **vector database or internal store** for RAG querying."
      },
      "typeVersion": 1
    },
    {
      "id": "559c1f98-3af4-46ef-9207-dbda744d8a48",
      "name": "Note adhésive 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2544,
        1760
      ],
      "parameters": {
        "content": "#### 4. ☁️ Backup to Google Drive\nSaves the uploaded PDF as a backup into a designated folder in Google Drive."
      },
      "typeVersion": 1
    },
    {
      "id": "b5144bb8-087c-4563-8095-8b1aa7b8c15c",
      "name": "Note adhésive 6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3616,
        992
      ],
      "parameters": {
        "color": 7,
        "content": "#### 1. 🟢 Webhook Trigger (Slack Event)\nListens for incoming Slack events specifically user messages mentioning the bot via a POST webhook integration."
      },
      "typeVersion": 1
    },
    {
      "id": "ccc08f58-a7c3-48b1-ab1b-774525644fc4",
      "name": "Note adhésive 7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3296,
        1024
      ],
      "parameters": {
        "color": 7,
        "height": 128,
        "content": "#### 2. 🧠 Message Validation\nChecks whether the incoming event is a user message. If not, it routes to a \"No Operation\" node."
      },
      "typeVersion": 1
    },
    {
      "id": "bd562f0a-fab6-4d3b-9712-1adc0af8d720",
      "name": "Note adhésive 8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3024,
        560
      ],
      "parameters": {
        "color": 7,
        "width": 512,
        "content": "#### 3. 🤖 Code of Conduct Agent (GPT-4 + Query Tool)\nExecutes the AI assistant agent:\n- Uses **GPT-4** as the chat model\n- Calls **Query Data Tool** to retrieve relevant chunks from the embedded Code of Conduct content\n- Returns a Slack-friendly, Markdown-formatted response"
      },
      "typeVersion": 1
    },
    {
      "id": "7e9c0b48-063b-48cf-8ed1-fa902e83cfc8",
      "name": "Note adhésive 9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2368,
        784
      ],
      "parameters": {
        "color": 7,
        "width": 288,
        "height": 144,
        "content": "#### 5. 💬 Post Response to Slack\n- Fetches user details to personalize the reply.\n- Delivers the final answer back to the mentioned Slack channel, replying to the original message or thread."
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {},
  "versionId": "e0003593-074e-4bad-9302-b7c166e9fd92",
  "connections": {
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    "a9a7c510-4b00-4fcb-988a-f6b126a9564a": {
      "main": [
        [
          {
            "node": "372bc24d-4510-4eb2-9ef5-fbaba46e18fc",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "264b1310-b80d-4e92-88da-218f261a9687": {
      "main": [
        [
          {
            "node": "24bb84e8-1ab4-42d9-9e8e-088590882f45",
            "type": "main",
            "index": 0
          },
          {
            "node": "de57e328-271a-42a5-914a-073ee5762a54",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "372bc24d-4510-4eb2-9ef5-fbaba46e18fc": {
      "main": [
        []
      ]
    }
  }
}

Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - RAG IA, IA Multimodale

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.