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面向公司员工的 Slack AI Chatbot with RAG

高级

这是一个AI领域的自动化工作流,包含 21 个节点。主要使用 Slack, GoogleDrive, HttpRequest, SlackTrigger, ManualTrigger 等节点,结合人工智能技术实现智能自动化。 面向企业团队的 Slack AI 聊天机器人,集成 RAG、Claude 3.7 Sonnet 和 Google Drive

前置要求
  • Slack Bot Token 或 Webhook URL
  • Google Drive API 凭证
  • 可能需要目标 API 的认证凭证
  • Anthropic API Key
  • OpenAI API Key
  • Qdrant 服务器连接信息
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "id": "SHpLY12UobbcWRnl",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "面向公司员工的 Slack AI Chatbot with RAG",
  "tags": [],
  "nodes": [
    {
      "id": "df994f64-af5b-49f5-ad83-5c4b69983d41",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -780,
        340
      ],
      "parameters": {
        "text": "={{ $json.blocks[0].elements[0].elements[1].text }}",
        "options": {
          "systemMessage": "=You are an AI assistant  connected to the company's internal knowledge base through a RAG (Retrieval Augmented Generation) system. Your purpose is to help team members quickly find and understand information from company documents.\n\nCORE RESPONSIBILITIES:\n- Respond to queries about company policies, procedures, documentation, and internal knowledge\n- Provide concise, accurate information retrieved from the company's document repository\n- Format responses appropriately for Slack (use markdown for clarity)\n- Cite the specific document source when providing information\n\nINTERACTION GUIDELINES:\n- Keep responses brief and to the point (aim for 3-5 sentences when possible)\n- Use bullet points for lists or step-by-step instructions\n- Include direct quotes from documents when relevant, using > for blockquotes\n- When unable to find information, clearly state this and suggest alternative resources\n\nTECHNICAL CONTEXT:\n- You receive queries through Slack messages\n- You use the RAG tool in n8n to search and retrieve relevant document sections\n- All responses should be crafted for readability on Slack's interface\n\nRESPONSE STRUCTURE:\n1. Direct answer to the question (1-2 sentences)\n2. Supporting details from retrieved documents (2-3 sentences or bullet points)\n3. Source citation (document name and date if available)\n4. Follow-up suggestion if applicable (1 sentence)\n\nAlways prioritize accuracy over speed. If multiple documents contain relevant information, synthesize the most important points rather than providing all details. If the query is ambiguous, ask a clarifying question before searching.\n\nRemember that you are a tool to empower employees, not replace human judgment. When questions involve complex decision-making, provide the relevant information and encourage the user to consult with appropriate team members.\n\nDate; {{ $now }}"
        },
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "047141fc-a7a0-4532-ae45-da0f2cc27b69",
      "name": "简单记忆",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        -720,
        600
      ],
      "parameters": {
        "sessionKey": "={{ $('Get message').item.json.channel }}_{{ $('Get message').item.json.blocks[0].elements[0].elements[0].user_id }}",
        "sessionIdType": "customKey",
        "contextWindowLength": 10
      },
      "typeVersion": 1.3
    },
    {
      "id": "f7da4458-3dc5-43b8-a97d-dac3e599543c",
      "name": "Embeddings OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        -460,
        800
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4zwP0MSr8zkNvvV9",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "14a6052f-e619-4d19-99aa-42253c45a913",
      "name": "RAG",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        -420,
        620
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "topK": 10,
        "options": {},
        "toolName": "company_info",
        "toolDescription": "Get business documents",
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "COLLECTION"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "iyQ6MQiVaF3VMBmt",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "c6334fd2-0d54-4980-857e-079be08959a5",
      "name": "计算器",
      "type": "@n8n/n8n-nodes-langchain.toolCalculator",
      "position": [
        -560,
        600
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "87a629b9-980f-4d0d-9fee-5efa560770d2",
      "name": "获取消息",
      "type": "n8n-nodes-base.slackTrigger",
      "position": [
        -1040,
        340
      ],
      "webhookId": "3146b3e9-4cfc-493f-882c-57c865380115",
      "parameters": {
        "options": {},
        "trigger": [
          "app_mention"
        ],
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "C08L6SEPWMB",
          "cachedResultName": "n8n-test"
        }
      },
      "credentials": {
        "slackApi": {
          "id": "QjSyGP8ykppazXDW",
          "name": "Slack account (Token)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "939b309d-1828-4159-b1dc-4a1629069c37",
      "name": "发送消息",
      "type": "n8n-nodes-base.slack",
      "position": [
        -420,
        340
      ],
      "webhookId": "946ab278-f815-4bd3-a20d-49ba59d76659",
      "parameters": {
        "text": "={{ $json.output }}",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "C08L6SEPWMB",
          "cachedResultName": "n8n-test"
        },
        "otherOptions": {
          "mrkdwn": true,
          "thread_ts": {
            "replyValues": {
              "thread_ts": "={{ $('Get message').item.json.event_ts }}",
              "reply_broadcast": true
            }
          },
          "unfurl_links": true,
          "includeLinkToWorkflow": false
        }
      },
      "credentials": {
        "slackApi": {
          "id": "QjSyGP8ykppazXDW",
          "name": "Slack account (Token)"
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "50be03ea-ab0c-48cb-b95a-b096e51c3d16",
      "name": "当点击\"测试工作流\"时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1120,
        -1020
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "2a765d76-59c6-49c3-95b4-429e5439da37",
      "name": "创建集合",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -820,
        -1160
      ],
      "parameters": {
        "url": "https://QDRANTURL/collections/COLLECTION",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n  \"filter\": {}\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "qhny6r5ql9wwotpn",
          "name": "Qdrant API (Hetzner)"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "66eb2691-4316-4470-aa6d-9696beff6cf2",
      "name": "刷新集合",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -820,
        -900
      ],
      "parameters": {
        "url": "https://QDRANTURL/collections/COLLECTION/points/delete",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n  \"filter\": {}\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "qhny6r5ql9wwotpn",
          "name": "Qdrant API (Hetzner)"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "c0e16404-d82c-418e-b384-d9cc5dceeab6",
      "name": "获取文件夹",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        -600,
        -900
      ],
      "parameters": {
        "filter": {
          "driveId": {
            "__rl": true,
            "mode": "list",
            "value": "My Drive",
            "cachedResultUrl": "https://drive.google.com/drive/my-drive",
            "cachedResultName": "My Drive"
          },
          "folderId": {
            "__rl": true,
            "mode": "id",
            "value": "=test-whatsapp"
          }
        },
        "options": {},
        "resource": "fileFolder"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "HEy5EuZkgPZVEa9w",
          "name": "Google Drive account (n3w.it)"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "ed9768aa-e381-4d53-b0b4-702833e388b9",
      "name": "下载文件",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        -380,
        -900
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {
          "googleFileConversion": {
            "conversion": {
              "docsToFormat": "text/plain"
            }
          }
        },
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "HEy5EuZkgPZVEa9w",
          "name": "Google Drive account (n3w.it)"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "0da72902-4338-4610-a48c-ad2762690623",
      "name": "默认数据加载器",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        20,
        -700
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1
    },
    {
      "id": "8783e0bc-df82-4bee-9340-5c788e7f7d3c",
      "name": "令牌分割器",
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "position": [
        0,
        -520
      ],
      "parameters": {
        "chunkSize": 300,
        "chunkOverlap": 30
      },
      "typeVersion": 1
    },
    {
      "id": "d3872217-ff7e-4ed7-9992-ab2b6f5af9e1",
      "name": "便签3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -620,
        -1220
      ],
      "parameters": {
        "color": 6,
        "width": 880,
        "height": 220,
        "content": "# 步骤 1"
      },
      "typeVersion": 1
    },
    {
      "id": "887598e8-5ac2-4433-9bd6-779a028eab14",
      "name": "Qdrant 向量存储1",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        -140,
        -900
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "=COLLECTION"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "iyQ6MQiVaF3VMBmt",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d0ab0fb8-e4b8-49e2-9d40-74c9855af7b0",
      "name": "便签5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -840,
        -960
      ],
      "parameters": {
        "color": 4,
        "width": 620,
        "height": 400,
        "content": "# 步骤 2"
      },
      "typeVersion": 1
    },
    {
      "id": "f3311b6f-1130-41c7-ab3a-447bb617be1b",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1140,
        -1500
      ],
      "parameters": {
        "color": 3,
        "width": 1400,
        "height": 200,
        "content": "# 基于 RAG 的 Slack AI Chatbot 工作流"
      },
      "typeVersion": 1
    },
    {
      "id": "b81155d1-6382-4bd8-96a1-09b063f95c43",
      "name": "Embeddings OpenAI2",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        -140,
        -680
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "7754f8bd-56c2-46c9-85da-d9a49ccf5c81",
      "name": "便签4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1060,
        -340
      ],
      "parameters": {
        "width": 900,
        "height": 640,
        "content": "# 步骤 3"
      },
      "typeVersion": 1
    },
    {
      "id": "9933da43-8797-40ed-b399-49ddeb369e42",
      "name": "Anthropic 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        -900,
        600
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-3-7-sonnet-20250219",
          "cachedResultName": "Claude 3.7 Sonnet"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "NNTZAD0Gmf7lcniq",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 1.3
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "9ed2f0d0-c463-4942-be0c-e5b606973048",
  "connections": {
    "RAG": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Send message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Calculator": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Get folder": {
      "main": [
        [
          {
            "node": "Download Files",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get message": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Download Files": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Token Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI1": {
      "ai_embedding": [
        [
          {
            "node": "RAG",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI2": {
      "ai_embedding": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Refresh collection": {
      "main": [
        [
          {
            "node": "Get folder",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Anthropic Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Create collection",
            "type": "main",
            "index": 0
          },
          {
            "node": "Refresh collection",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

高级 - 人工智能

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
高级
节点数量21
分类1
节点类型14
难度说明

适合高级用户,包含 16+ 个节点的复杂工作流

作者

Full-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza

外部链接
在 n8n.io 查看

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