AutomationFlowsAI & RAG › 教程抓取 (lm Chat Google Gemini)

教程抓取 (lm Chat Google Gemini)

教程抓取. Uses lmChatGoogleGemini, httpRequest, memoryRedisChat, chatTrigger. Chat trigger; 6 nodes.

Chat trigger trigger★★☆☆☆ complexityAI-powered6 nodesGoogle Gemini ChatHTTP RequestMemory Redis ChatChat Trigger@Mendable/N8N Nodes FirecrawlAgent
AI & RAG Trigger: Chat trigger Nodes: 6 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "active": true,
  "connections": {
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI\u751f\u6210\u6559\u7a0b",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Redis Chat Memory": {
      "ai_memory": [
        [
          {
            "node": "AI\u751f\u6210\u6559\u7a0b",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "\u63a8\u9001\u5230\u601d\u6e90\u7b14\u8bb0": {
      "main": [
        []
      ]
    },
    "\u722c\u53d6\u7f51\u9875": {
      "main": [
        [
          {
            "node": "AI\u751f\u6210\u6559\u7a0b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "\u722c\u53d6\u7f51\u9875",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI\u751f\u6210\u6559\u7a0b": {
      "main": [
        [
          {
            "node": "\u63a8\u9001\u5230\u601d\u6e90\u7b14\u8bb0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "createdAt": "2025-08-23T02:42:42.254Z",
  "id": "IXGtpeKfKrHNLorV",
  "isArchived": false,
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "name": "\u6559\u7a0b\u6293\u53d6",
  "nodes": [
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "typeVersion": 1,
      "position": [
        480,
        304
      ],
      "id": "1d2251ab-aab0-42de-a26a-0876fb4e178f",
      "name": "Google Gemini Chat Model",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://sy.xujw.top/api/filetree/createDocWithMd",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "notebook",
              "value": "20250823105420-kkqabzc"
            },
            {
              "name": "path",
              "value": "=/{{ $('\u722c\u53d6\u7f51\u9875').item.json.data.metadata.keywords }}"
            },
            {
              "name": "markdown",
              "value": "={{ $json.output }}"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        880,
        80
      ],
      "id": "3b997c48-55e0-4f32-8754-d9e8c3585dc1",
      "name": "\u63a8\u9001\u5230\u601d\u6e90\u7b14\u8bb0",
      "retryOnFail": true,
      "maxTries": 5,
      "waitBetweenTries": 5000,
      "credentials": {
        "httpHeaderAuth": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "sessionIdType": "customKey",
        "sessionKey": "={{ $workflow.id }}",
        "sessionTTL": 10
      },
      "type": "@n8n/n8n-nodes-langchain.memoryRedisChat",
      "typeVersion": 1.5,
      "position": [
        640,
        304
      ],
      "id": "92c113a2-853f-4842-a7d2-9cf70fe1ed13",
      "name": "Redis Chat Memory",
      "credentials": {
        "redis": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "public": true,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.3,
      "position": [
        112,
        80
      ],
      "id": "15ae3d0d-8d8b-49ae-9819-e6c2f5d109f3",
      "name": "When chat message received"
    },
    {
      "parameters": {
        "operation": "scrape",
        "url": "={{ $json.chatInput }}",
        "scrapeOptions": {
          "options": {
            "headers": {}
          }
        },
        "requestOptions": {}
      },
      "type": "@mendable/n8n-nodes-firecrawl.firecrawl",
      "typeVersion": 1,
      "position": [
        288,
        80
      ],
      "id": "3d85f3d9-506b-46ad-a74f-904b6ec97d93",
      "name": "\u722c\u53d6\u7f51\u9875",
      "retryOnFail": true,
      "maxTries": 5,
      "waitBetweenTries": 5000,
      "credentials": {
        "firecrawlApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json.data.markdown }}",
        "options": {
          "systemMessage": "**\u3010\u89d2\u8272\u8bbe\u5b9a\u3011**\n\u4f60\u662f\u4e00\u540d\u7ecf\u9a8c\u4e30\u5bcc\u7684\u6280\u672f\u5199\u4f5c\u4e13\u5bb6\u548c\u8d44\u6df1\u6559\u5e08\uff0c\u5c24\u5176\u64c5\u957f\u5c06\u590d\u6742\u3001\u96f6\u6563\u7684\u4fe1\u606f\u6574\u5408\u6210\u7ed3\u6784\u6e05\u6670\u3001\u5faa\u5e8f\u6e10\u8fdb\u3001\u901a\u4fd7\u6613\u61c2\u7684\u6559\u7a0b\u3002\u4f60\u7684\u6559\u5b66\u98ce\u683c\u53cb\u597d\u3001\u8010\u5fc3\uff0c\u5584\u4e8e\u7528\u7b80\u5355\u7684\u8bed\u8a00\u548c\u751f\u52a8\u7684\u7c7b\u6bd4\u89e3\u91ca\u590d\u6742\u6982\u5ff5\u3002\n\n**\u3010\u6838\u5fc3\u6307\u4ee4\u3011**\n\u6211\u5c06\u63d0\u4f9b\u4e00\u6bb5\u4ece\u7f51\u9875\u4e0a\u722c\u53d6\u7684\u5185\u5bb9\uff0c\u8bf7\u4f60\u5c06\u5176\u6574\u7406\u6210\u4e00\u4efd\u8be6\u7ec6\u7684\u6559\u7a0b\u3002\u8bf7\u9075\u5faa\u4ee5\u4e0b\u6b65\u9aa4\u548c\u8981\u6c42\uff1a\n\n**\u7b2c\u4e00\u6b65\uff1a\u5206\u6790\u4e0e\u8bc6\u522b\uff08\u5148\u601d\u8003\uff09**\n1.  **\u5224\u65ad\u5185\u5bb9\u7c7b\u578b**\uff1a\u786e\u8ba4\u539f\u59cb\u5185\u5bb9\u5c5e\u4e8e\u54ea\u79cd\u6559\u7a0b\uff08\u4f8b\u5982\uff1a\u8f6f\u4ef6\u64cd\u4f5c\u3001\u70f9\u996a\u98df\u8c31\u3001\u5065\u8eab\u52a8\u4f5c\u3001\u7f16\u7a0b\u6307\u5357\u3001\u624b\u5de5DIY\u7b49\uff09\u3002\n2.  **\u8bc6\u522b\u6838\u5fc3\u4e3b\u9898**\uff1a\u63d0\u70bc\u51fa\u672c\u6559\u7a0b\u7684\u6700\u7ec8\u76ee\u6807\u662f\u4ec0\u4e48\uff08\u4f8b\u5982\uff1a\u201c\u6559\u4f1a\u7528\u6237\u5982\u4f55\u7528Photoshop\u66f4\u6362\u56fe\u7247\u80cc\u666f\u201d\uff09\u3002\n3.  **\u7b5b\u9009\u5173\u952e\u4fe1\u606f**\uff1a\u533a\u5206\u51fa\u6838\u5fc3\u6b65\u9aa4\u3001\u5fc5\u8981\u53c2\u6570\u3001\u91cd\u8981\u8b66\u544a\u3001\u9884\u5907\u77e5\u8bc6\u3001\u6240\u9700\u5de5\u5177\u7b49\u5173\u952e\u5143\u7d20\uff0c\u5ffd\u7565\u5e7f\u544a\u3001\u65e0\u5173\u7684\u8bc4\u8bba\u3001\u63a8\u5e7f\u94fe\u63a5\u7b49\u5197\u4f59\u4fe1\u606f\u3002\n\n**\u7b2c\u4e8c\u6b65\uff1a\u7ed3\u6784\u4e0e\u91cd\u6784\uff08\u518d\u7ec4\u7ec7\uff09**\n\u6309\u7167\u4ee5\u4e0b\u903b\u8f91\u7ed3\u6784\u7ec4\u7ec7\u5185\u5bb9\uff0c\u5e76\u751f\u6210\u5bf9\u5e94\u7684Markdown\u683c\u5f0f\uff1a\n\n1.  **\u6807\u9898**\uff1a\u521b\u5efa\u4e00\u4e2a\u660e\u786e\u3001\u5438\u5f15\u4eba\u7684\u6559\u7a0b\u6807\u9898\u3002\n2.  **\u5f15\u8a00/\u6982\u8ff0**\uff1a\u7528\u4e00\u4e24\u53e5\u8bdd\u7b80\u8981\u8bf4\u660e\u672c\u6559\u7a0b\u7684\u76ee\u7684\u3001\u9002\u7528\u4eba\u7fa4\u4ee5\u53ca\u5b66\u5b8c\u540e\u80fd\u8fbe\u5230\u4ec0\u4e48\u6548\u679c\u3002\n3.  **\u524d\u7f6e\u8981\u6c42/\u51c6\u5907\u5de5\u5177**\uff1a\u5217\u51fa\u5b66\u4e60\u672c\u6559\u7a0b\u524d\u9700\u8981\u5177\u5907\u7684\u77e5\u8bc6\u70b9\u548c\u9700\u8981\u51c6\u5907\u7684\u6240\u6709\u5de5\u5177\u3001\u8f6f\u4ef6\u3001\u6750\u6599\u3002\n4.  **\u6838\u5fc3\u6559\u7a0b\u6b65\u9aa4**\uff1a\u8fd9\u662f\u4e3b\u4f53\u90e8\u5206\u3002\u5c06\u8fc7\u7a0b\u5206\u89e3\u4e3a\u903b\u8f91\u6e05\u6670\u7684\u6b65\u9aa4\uff08Step 1, Step 2, Step 3...\uff09\u3002\n    *   \u6bcf\u4e2a\u6b65\u9aa4\u90fd\u8981\u6709\u4e00\u4e2a**\u7b80\u77ed\u7684\u5c0f\u6807\u9898**\uff08\u5982\uff1aStep 1: \u5bfc\u5165\u5e76\u590d\u5236\u56fe\u5c42\uff09\u3002\n    *   \u6bcf\u4e2a\u6b65\u9aa4\u7684\u8bf4\u660e\u8981**\u5177\u4f53\u3001\u65e0\u6b67\u4e49**\uff08\u5305\u542b\u5177\u4f53\u6570\u503c\u3001\u83dc\u5355\u4f4d\u7f6e\u3001\u6309\u94ae\u540d\u79f0\u7b49\uff09\u3002\n    *   \u5c3d\u91cf\u914d\u4ee5**\u7c7b\u6bd4\u6216\u901a\u4fd7\u7684\u89e3\u91ca**\uff08\u4f8b\u5982\uff1a\u201c\u8fd9\u4e2a\u64cd\u4f5c\u5c31\u50cf\u662f\u5148\u4e3a\u4f60\u7684\u7167\u7247\u521b\u5efa\u4e00\u4e2a\u5907\u4efd\uff0c\u8fd9\u6837\u6211\u4eec\u5c31\u80fd\u5728\u5907\u4efd\u4e0a\u5927\u80c6\u4fee\u6539\uff0c\u539f\u56fe\u4e0d\u4f1a\u53d7\u635f\u3002\u201d\uff09\u3002\n    *   \u5982\u679c\u67d0\u4e2a\u6b65\u9aa4\u5f88\u590d\u6742\uff0c\u53ef\u4ee5\u518d\u62c6\u5206\u6210\u66f4\u5c0f\u7684\u5b50\u6b65\u9aa4\u3002\n5.  **\u56fe\u793a\u5efa\u8bae\uff08\u53ef\u9009\u4f46\u9f13\u52b1\uff09**\uff1a\u5728\u5173\u952e\u6b65\u9aa4\u540e\uff0c\u7528\u62ec\u53f7\u6ce8\u660e\u3010\u5efa\u8bae\u914d\u56fe\uff1a\u6b64\u5904\u5e94\u6709\u4e00\u5f20XXX\u7684\u622a\u56fe\u3011\u3002\u8fd9\u80fd\u6781\u5927\u63d0\u5347\u6559\u7a0b\u6613\u7528\u6027\u3002\n6.  **\u603b\u7ed3**\uff1a\u56de\u987e\u6574\u4e2a\u6d41\u7a0b\uff0c\u5f3a\u8c03\u5173\u952e\u70b9\u548c\u5e38\u89c1\u76ee\u6807\u8fbe\u6210\u6807\u5fd7\u3002\n7.  **\u5e38\u89c1\u95ee\u9898\u89e3\u7b54\uff08FAQ\uff09**\uff1a\u9884\u89c1\u7528\u6237\u53ef\u80fd\u9047\u5230\u76842-3\u4e2a\u95ee\u9898\u5e76\u63d0\u4f9b\u89e3\u51b3\u65b9\u6848\uff08\u4f8b\u5982\uff1a\u201c\u5982\u679c\u627e\u4e0d\u5230XX\u6309\u94ae\u600e\u4e48\u529e\uff1f\u201d\u201c\u64cd\u4f5c\u5931\u8bef\u5982\u4f55\u64a4\u9500\uff1f\u201d\uff09\u3002\n8.  **\u6ce8\u610f\u4e8b\u9879/\u8b66\u544a**\uff1a\u7a81\u51fa\u64cd\u4f5c\u4e2d\u53ef\u80fd\u51fa\u9519\u3001\u635f\u574f\u8bbe\u5907\u6216\u6570\u636e\u7684\u5173\u952e\u70b9\uff0c\u7528\u663e\u7740\u65b9\u5f0f\uff08\u5982`**\u8b66\u544a\uff1a**`\uff09\u6807\u51fa\u3002\n\n**\u7b2c\u4e09\u6b65\uff1a\u8bed\u8a00\u4e0e\u98ce\u683c\uff08\u6700\u540e\u4f18\u5316\uff09**\n*   **\u8bed\u8a00**\uff1a\u4f7f\u7528\u4e2d\u6587\uff0c\u53e3\u8bed\u5316\uff0c\u4eb2\u5207\u81ea\u7136\uff0c\u5c31\u50cf\u4e00\u4f4d\u670b\u53cb\u5728\u9762\u5bf9\u9762\u6559\u4f60\u3002\n*   **\u98ce\u683c**\uff1a\u4fdd\u6301\u79ef\u6781\u548c\u9f13\u52b1\u7684\u8bed\u6c14\uff08\u4f8b\u5982\uff1a\u201c\u5f88\u7b80\u5355\u5bf9\u5427\uff1f\u201d\u201c\u63a5\u4e0b\u6765\u662f\u5173\u952e\u4e00\u6b65\uff0c\u96c6\u4e2d\u6ce8\u610f\u529b\uff01\u201d\uff09\u3002\n*   **\u4e13\u4e1a\u6027**\uff1a\u5728\u5fc5\u987b\u4f7f\u7528\u4e13\u4e1a\u672f\u8bed\u65f6\uff0c\u968f\u540e\u7528\u7b80\u5355\u7684\u8bed\u8a00\u52a0\u4ee5\u89e3\u91ca\u3002\n\n**\u3010\u91cd\u8981\uff1a\u6700\u7ec8\u8f93\u51fa\u3011**\n\u8bf7\u76f4\u63a5\u8f93\u51fa\u6574\u7406\u597d\u7684\u5b8c\u6574\u6559\u7a0b\uff0c**\u4e0d\u9700\u8981\u56de\u590d\u201c\u597d\u7684\u201d\u3001\u201c\u6839\u636e\u60a8\u7684\u8981\u6c42\u201d\u7b49\u524d\u7f00**\u3002\u76f4\u63a5\u4ee5Markdown\u683c\u5f0f\u5f00\u59cb\u3002"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1.9,
      "position": [
        512,
        80
      ],
      "id": "977cf28b-64ed-4d76-a2bb-fc70789683e0",
      "name": "AI\u751f\u6210\u6559\u7a0b",
      "retryOnFail": true,
      "maxTries": 5,
      "waitBetweenTries": 5000
    }
  ],
  "settings": {
    "executionOrder": "v1",
    "timezone": "Asia/Shanghai",
    "callerPolicy": "workflowsFromSameOwner",
    "timeSavedPerExecution": 1
  },
  "shared": [
    {
      "createdAt": "2025-08-23T02:42:42.260Z",
      "updatedAt": "2025-08-23T02:42:42.260Z",
      "role": "workflow:owner",
      "workflowId": "IXGtpeKfKrHNLorV",
      "projectId": "ZpLUuPAPWUwvLsjb"
    }
  ],
  "staticData": {
    "node:Schedule Trigger": {
      "recurrenceRules": []
    },
    "node:\u5b9a\u65f6\u89e6\u53d1": {
      "recurrenceRules": []
    }
  },
  "tags": [],
  "triggerCount": 1,
  "updatedAt": "2025-09-10T05:53:25.000Z",
  "versionId": "bee67fbf-cff9-4cef-9e47-c4b4f28611eb"
}

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About this workflow

教程抓取. Uses lmChatGoogleGemini, httpRequest, memoryRedisChat, chatTrigger. Chat trigger; 6 nodes.

Source: https://github.com/xujw3/n8n_backup/blob/c7cf2b43afac8d3b431f0efc14e9fc4b46ada686/workflows/IXGtpeKfKrHNLorV.json — original creator credit. Request a take-down →

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