AutomationFlowsAI & RAG › AI Deep Research Agent for Japanese Users

AI Deep Research Agent for Japanese Users

Original n8n title: Simple Deepresearch for Japanese Users for Publish

simple_deepresearch_for_Japanese_users_for_publish. Uses agent, lmChatGoogleGemini, outputParserStructured, @tavily/n8n-nodes-tavily. Event-driven trigger; 18 nodes.

Event trigger★★★★☆ complexityAI-powered18 nodesAgentGoogle Gemini ChatOutput Parser Structured@Tavily/N8N Nodes TavilyGmail
AI & RAG Trigger: Event Nodes: 18 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow follows the Agent → Gmail 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
{
  "template_id": 5897,
  "template_name": "Generate Comprehensive Research Reports with Gemini AI and Tavily Search for Japanese Users",
  "source": "n8n_official_api",
  "id": "Ud48ms2k7e8jttpp",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "name": "simple_deepresearch_for_Japanese_users_for_publish",
  "tags": [],
  "nodes": [
    {
      "id": "bdf85255-f3d9-4973-90a7-88728b1d0aec",
      "name": "When clicking \u2018Execute workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        120,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "81ece876-1fb4-44d0-b739-6c2885faf6f4",
      "name": "Query Generator",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        700,
        0
      ],
      "parameters": {
        "text": "=\u8cea\u554f\u306b\u5bfe\u3057\u3066\u6709\u529b\u306a\u30af\u30a8\u30ea\u30923\u3064\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002",
        "options": {
          "systemMessage": "=\u3042\u306a\u305f\u306f\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u304b\u3089\u6700\u9069\u306a\u691c\u7d22\u30af\u30a8\u30ea\u3092\u62bd\u51fa\u3059\u308b\u5c02\u9580\u5bb6\u3067\u3059\u3002\n\n\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\uff1a{{ $json.query }}\n\n## \u3042\u306a\u305f\u306e\u4ed5\u4e8b\uff1a\n\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u3092\u5206\u6790\u3057\u3001\u6700\u3082\u52b9\u679c\u7684\u306a\u691c\u7d22\u30ad\u30fc\u30ef\u30fc\u30c9\u30923\u3064\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n## \u91cd\u8981\u306a\u6307\u793a\uff1a\n- **\u691c\u7d22\u30af\u30a8\u30ea\u306e\u307f\u3092\u51fa\u529b**\u3057\u3066\u304f\u3060\u3055\u3044\uff08\u8aac\u660e\u3084\u524d\u7f6e\u304d\u306f\u4e00\u5207\u4e0d\u8981\uff09\n- \u82f1\u8a9e\u306e\u691c\u7d22\u30af\u30a8\u30ea\u304c\u52b9\u679c\u7684\u306a\u5834\u5408\u306f\u82f1\u8a9e\u3067\u51fa\u529b\n- \u8907\u6570\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u5305\u62ec\u7684\u306a\u691c\u7d22\u3092\u53ef\u80fd\u306b\u3059\u308b\n- \u6709\u529b\u3068\u601d\u308f\u308c\u308b\u30af\u30a8\u30ea\u30923\u3064\u4f5c\u6210\n\n## \u4f8b\uff1a\n- \u8cea\u554f\uff1a\u300cGoogle ADK\u3068LangGraph\u306e\u6bd4\u8f03\u306b\u3064\u3044\u3066\u6559\u3048\u3066\u300d\n- \u51fa\u529b\uff1aGoogle ADK LangGraph comparison features differences\n\n\u691c\u7d22\u30af\u30a8\u30ea\u306e\u307f\u3092\u51fa\u529b\u3057\u3066\u304f\u3060\u3055\u3044\u3002"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2
    },
    {
      "id": "c3d07289-c5eb-486d-b72b-ac254081c5d2",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        700,
        200
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-flash"
      },
      "typeVersion": 1
    },
    {
      "id": "54a580ae-8e1e-466e-b16a-03b595098e2f",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        880,
        200
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"query1\": \"string\",\n\t\t\"query2\": \"string\",\n        \"query3\": \"string\"\n\t}\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "56ed43ed-3130-4943-a437-47f7a5dfcbf8",
      "name": "Google Gemini Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1180,
        180
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-flash"
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0ace29b7-067d-4bf0-9ea4-a34d2f38ae67",
      "name": "Tavily_Search_Tool",
      "type": "@tavily/n8n-nodes-tavily.tavilyTool",
      "position": [
        1340,
        180
      ],
      "parameters": {
        "query": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Query', ``, 'string') }}",
        "options": {
          "max_results": 10,
          "search_depth": "advanced",
          "include_answer": "advanced"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "4ff9b87a-4f50-4080-8bad-ca38c8292c1c",
      "name": "Google Gemini Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1660,
        180
      ],
      "parameters": {
        "options": {
          "maxOutputTokens": 6000
        },
        "modelName": "models/gemini-2.5-pro"
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1801caa0-471a-4a9b-a86e-625118a56024",
      "name": "Send a message",
      "type": "n8n-nodes-base.gmail",
      "position": [
        2120,
        0
      ],
      "parameters": {
        "message": "={{ $json.output }}",
        "options": {},
        "subject": "={{ $('query').item.json.query }}"
      },
      "typeVersion": 2.1
    },
    {
      "id": "5d706b1d-7878-4e5d-8a4a-c11998060d3e",
      "name": "Research Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1180,
        0
      ],
      "parameters": {
        "text": "\u53d7\u3051\u3068\u3063\u305f3\u3064\u306equery\u3092\u4e00\u3064\u305a\u3064Tavily_Search_Tool\u306bquery\u3068\u3057\u3066\u6e21\u3057\u30663\u3064\u306equery\u306b\u95a2\u3057\u3066\u8abf\u67fb\u3092\u5b9f\u884c\u3057\u691c\u7d22\u30af\u30a8\u30ea\u3068\u8abf\u67fb\u7d50\u679c\u3092\u7701\u7565\u305b\u305a\u306b\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3002",
        "options": {
          "systemMessage": "=\u3042\u306a\u305f\u306fTavily_Search_Tool\u3067\u691c\u7d22\u8abf\u67fb\u3092\u884c\u3046\u5c02\u9580\u5bb6\u3067\u3059\u3002\u691c\u7d22\u30af\u30a8\u30ea\u3068\u691c\u7d22\u8abf\u67fb\u7d50\u679c\u306e\u5185\u5bb9\u3092\u7701\u7565\u305b\u305a\u306b\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u3053\u308c\u4ee5\u5916\u306e\u5185\u5bb9\u306f\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u306a\u304f\u3066\u5927\u4e08\u592b\u3067\u3059\u3002\n\n## \u51e6\u7406\u624b\u9806\uff1a\n1. state\u5185\u306e\u691c\u7d22\u30af\u30a8\u30ea\u3092\u78ba\u8a8d:\n   - query1: {{ $json.output.query1 }}\n   - query2: {{ $json.output.query2 }}\n   - query3: {{ $json.output.query3 }}\n2. tavily_search\u30c4\u30fc\u30eb\u3092\u547c\u3073\u51fa\u3057:\n   - query1~3\u3092\u4f7f\u7528\n   - search_depth: \"advanced\"\n   - include_answer: true\n   - max_results: 10\n\n3. \u7279\u306b\u4ee5\u4e0b\u306b\u6ce8\u76ee\u3057\u3066\u5206\u6790\uff1a\n   - Tavily\u306eAI\u751f\u6210\u56de\u7b54\u306e\u5185\u5bb9\n   - \u6700\u3082\u95a2\u9023\u6027\u306e\u9ad8\u3044\u60c5\u5831\u306e\u8a73\u7d30\n   - \u5c02\u9580\u7684\u306a\u89e3\u8aac\u3084\u5206\u6790\n\ntavily_search\u30c4\u30fc\u30eb\u3092\u5fc5\u305a\u4f7f\u7528\u3057\u3066\u3001\u53ce\u96c6\u3057\u305f\u60c5\u5831\u3068AI\u5206\u6790\u3092\u7d71\u5408\u3057\u3066\u63d0\u4f9b\u3057\u3066\u304f\u3060\u3055\u3044\u3002"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "c8e7f969-72d9-41f8-a553-6a75b0bc27d2",
      "name": "Report Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1660,
        0
      ],
      "parameters": {
        "text": "\u8abf\u67fb\u7d50\u679c\u3092\u7d71\u5408\u3057\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u308f\u304b\u308a\u3084\u3059\u3044\u69cb\u9020\u5316\u3055\u308c\u305f\u5305\u62ec\u7684\u306a\u6700\u7d42\u30ec\u30dd\u30fc\u30c8\u3092HTML\u5f62\u5f0f\u3067\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002",
        "options": {
          "systemMessage": "=\u3042\u306a\u305f\u306f\u60c5\u5831\u7d71\u5408\u3068\u5206\u6790\u3092\u884c\u3044\u30e6\u30fc\u30b6\u30fc\u306b\u5bfe\u3059\u308b\u8cea\u554f\u306b\u5bfe\u3057\u3066\u69cb\u9020\u5316\u3055\u308c\u305f\u5305\u62ec\u7684\u306a\u308f\u304b\u308a\u3084\u3059\u3044\u6700\u7d42\u30ec\u30dd\u30fc\u30c8\u3092HTML\u3067\u4f5c\u6210\u3059\u308b\u5c02\u9580\u5bb6\u3067\u3059\u3002\u4ee5\u4e0b\u306e\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u3001\u8abf\u67fb\u7d50\u679c\u3092\u7d71\u5408\u3057\u3001\u91cd\u8907\u3068\u77db\u76fe\u3092\u6392\u9664\u3057\u306a\u304c\u3089\u5305\u62ec\u7684\u304b\u3064\u5185\u5bb9\u306b\u6cbf\u3063\u3066\u69cb\u9020\u5316\u3055\u308c\u305f\u30ec\u30dd\u30fc\u30c8\u3092HTML\u5f62\u5f0f\u3067\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u30c7\u30fc\u30bf\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u5229\u7528\u53ef\u80fd\u306a\u60c5\u5831\u306e\u307f\u3067\u6700\u5584\u306e\u30ec\u30dd\u30fc\u30c8\u3092\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002HTML\u5f62\u5f0f\u306e\u56de\u7b54\u306e\u307f\u3092\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n##\u30e6\u30fc\u30b6\u30fc\u304b\u3089\u306e\u8cea\u554f\uff1a{{ $('query').item.json.query }}\n##\u8abf\u67fb\u7d50\u679c\uff1a{{ $json.output }}\n\n"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "78256843-744f-4113-aae8-70122c93f19b",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -300,
        -260
      ],
      "parameters": {
        "width": 560,
        "height": 560,
        "content": "## \ud83d\udccb Simple Deep Research for Japanese Users\n\n**\u3053\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306b\u3064\u3044\u3066**\n\n\u3053\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306f\u3001\u65e5\u672c\u8a9e\u30e6\u30fc\u30b6\u30fc\u5411\u3051\u306e\u81ea\u52d5\u8abf\u67fb\u30fb\u5206\u6790\u30b7\u30b9\u30c6\u30e0\u3067\u3059\u3002\u8cea\u554f\u3092\u5165\u529b\u3059\u308b\u3068\u3001AI\u304c\u6700\u9069\u306a\u691c\u7d22\u30af\u30a8\u30ea\u3092\u751f\u6210\u3057\u3001Tavily\u3067\u8907\u6570\u306e\u8996\u70b9\u304b\u3089\u60c5\u5831\u3092\u8abf\u67fb\u3057\u3001\u7d71\u5408\u3055\u308c\u305f\u5305\u62ec\u7684\u306aHTML\u30ec\u30dd\u30fc\u30c8\u3092\u30e1\u30fc\u30eb\u3067\u9001\u4fe1\u3057\u307e\u3059\u3002\n\n**\u4e3b\u306a\u6a5f\u80fd\uff1a**\n- \u8cea\u554f\u304b\u30893\u3064\u306e\u6700\u9069\u5316\u3055\u308c\u305f\u691c\u7d22\u30af\u30a8\u30ea\u3092\u81ea\u52d5\u751f\u6210\n- Tavily\u3092\u4f7f\u7528\u3057\u305f\u9ad8\u5ea6\u306a\u691c\u7d22\u8abf\u67fb\n- \u8907\u6570\u306e\u8abf\u67fb\u7d50\u679c\u3092\u7d71\u5408\u3057\u305fHTML\u30ec\u30dd\u30fc\u30c8\u751f\u6210\n- Gmail\u7d4c\u7531\u3067\u306e\u81ea\u52d5\u30ec\u30dd\u30fc\u30c8\u9001\u4fe1\n\n**\u4f7f\u7528\u65b9\u6cd5\uff1a**\n1. Edit Fields\u30ce\u30fc\u30c9\u3067query\u306e\u5024\u3092\u5909\u66f4\n2. \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u5b9f\u884c\n3. HTML\u30ec\u30dd\u30fc\u30c8\u304c\u30e1\u30fc\u30eb\u3067\u5c4a\u304f\u307e\u3067\u5f85\u6a5f\n\n**\u5fc5\u8981\u306a\u8a2d\u5b9a\uff1a**\n- Google Gemini API\u8a8d\u8a3c\u60c5\u5831\n- Tavily API\u8a8d\u8a3c\u60c5\u5831\n- Gmail\u8a8d\u8a3c\u60c5\u5831\n- \u9001\u4fe1\u5148\u30e1\u30fc\u30eb\u30a2\u30c9\u30ec\u30b9\u306e\u8a2d\u5b9a"
      },
      "typeVersion": 1
    },
    {
      "id": "5bf63a62-71c9-4b71-92f1-35220c0acf98",
      "name": "query",
      "type": "n8n-nodes-base.set",
      "position": [
        400,
        0
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "552f3fcd-1dc9-4d9b-b906-ead18b354034",
              "name": "query",
              "type": "string",
              "value": "n8n\u3068dify\u306e\u9055\u3044"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "29036268-0dce-406d-b478-550e1d3ecaee",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        320,
        -400
      ],
      "parameters": {
        "color": 4,
        "width": 280,
        "height": 760,
        "content": "## \ud83c\udfaf Step 1: Query Input Setup\n**Edit Fields - \u30af\u30a8\u30ea\u8a2d\u5b9a**\n\n\u3053\u3053\u3067\u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u300cn8n\u3068dify\u306e\u9055\u3044\u300d\u304c\u8a2d\u5b9a\u3055\u308c\u3066\u3044\u307e\u3059\u3002\n\n**\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u65b9\u6cd5\uff1a**\n- `query`\u30d5\u30a3\u30fc\u30eb\u30c9\u306e\u5024\u3092\u5909\u66f4\n- \u65e5\u672c\u8a9e\u3067\u8cea\u554f\u3092\u5165\u529b\n- \u6bd4\u8f03\u30fb\u5206\u6790\u30fb\u8abf\u67fb\u7cfb\u306e\u8cea\u554f\u304c\u52b9\u679c\u7684\n"
      },
      "typeVersion": 1
    },
    {
      "id": "b8a3c415-4643-4a0a-bcfa-46cb9aaff345",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -400
      ],
      "parameters": {
        "color": 5,
        "width": 400,
        "height": 760,
        "content": "## \ud83e\udde0 Step 2: AI Query Generation\n**Query Generator - \u30af\u30a8\u30ea\u6700\u9069\u5316**\n\nGoogle Gemini 2.5-flash\u3092\u4f7f\u7528\u3057\u3066\u3001\u5165\u529b\u3055\u308c\u305f\u8cea\u554f\u304b\u30893\u3064\u306e\u6700\u9069\u5316\u3055\u308c\u305f\u691c\u7d22\u30af\u30a8\u30ea\u3092\u751f\u6210\u3057\u307e\u3059\u3002\n\n**\u51e6\u7406\u5185\u5bb9\uff1a**\n- \u65e5\u672c\u8a9e\u8cea\u554f\u3092\u5206\u6790\n- \u691c\u7d22\u306b\u9069\u3057\u305f\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u62bd\u51fa\n- \u82f1\u8a9e\u30af\u30a8\u30ea\u3082\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u751f\u6210\n- \u69cb\u9020\u5316\u51fa\u529b\u3067query1, query2, query3\u3092\u751f\u6210\n\n**\u91cd\u8981\uff1a** Google Gemini API\u8a8d\u8a3c\u60c5\u5831\u304c\u5fc5\u8981\u3067\u3059"
      },
      "typeVersion": 1
    },
    {
      "id": "5417921f-5cf9-445a-a731-4ea0f242271b",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1080,
        -400
      ],
      "parameters": {
        "color": 6,
        "width": 460,
        "height": 720,
        "content": "## \ud83d\udd0d Step 3: Multi-Query Research\n**Research Agent - \u8abf\u67fb\u5b9f\u884c**\n\n\u751f\u6210\u3055\u308c\u305f3\u3064\u306e\u30af\u30a8\u30ea\u3092\u4f7f\u7528\u3057\u3066Tavily\u3067\u8abf\u67fb\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002\n\n**\u8abf\u67fb\u8a2d\u5b9a\uff1a**\n- `search_depth`: \"advanced\"\n- `max_results`: 10\n- `include_answer`: \"advanced\"\n\n**\u51e6\u7406\u5185\u5bb9\uff1a**\n- \u5404\u30af\u30a8\u30ea\u3067Tavily\u691c\u7d22\u3092\u5b9f\u884c\n- AI\u751f\u6210\u56de\u7b54\u3092\u53ce\u96c6\n- \u95a2\u9023\u6027\u306e\u9ad8\u3044\u60c5\u5831\u3092\u62bd\u51fa\n- \u5c02\u9580\u7684\u306a\u89e3\u8aac\u3084\u5206\u6790\u3092\u7d71\u5408\n\n**\u91cd\u8981\uff1a** Tavily API\u8a8d\u8a3c\u60c5\u5831\u304c\u5fc5\u8981\u3067\u3059"
      },
      "typeVersion": 1
    },
    {
      "id": "5e73dace-b2dc-462a-b311-257799145ae1",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1580,
        -400
      ],
      "parameters": {
        "color": 7,
        "width": 400,
        "height": 720,
        "content": "## \ud83d\udcca Step 4: Report Generation\n**Report Agent - \u30ec\u30dd\u30fc\u30c8\u4f5c\u6210**\n\n\u53ce\u96c6\u3057\u305f\u8abf\u67fb\u7d50\u679c\u3092\u7d71\u5408\u3057\u3001\u69cb\u9020\u5316\u3055\u308c\u305fHTML\u30ec\u30dd\u30fc\u30c8\u3092\u751f\u6210\u3057\u307e\u3059\u3002\n\n**\u30ec\u30dd\u30fc\u30c8\u7279\u5fb4\uff1a**\n- \u5305\u62ec\u7684\u3067\u7406\u89e3\u3057\u3084\u3059\u3044\u69cb\u9020\n- \u91cd\u8907\u3068\u77db\u76fe\u3092\u6392\u9664\n- HTML\u5f62\u5f0f\u3067\u8996\u899a\u7684\u306b\u898b\u3084\u3059\u3044\n- \u30e6\u30fc\u30b6\u30fc\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u76f4\u63a5\u7684\u306a\u56de\u7b54\n\n**\u4f7f\u7528\u30e2\u30c7\u30eb\uff1a** Google Gemini 2.5-pro\uff08\u9ad8\u54c1\u8cea\u306a\u5206\u6790\u306e\u305f\u3081\uff09"
      },
      "typeVersion": 1
    },
    {
      "id": "cf3d13de-00b5-4dee-9f92-33735ee627f2",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2020,
        -400
      ],
      "parameters": {
        "color": 2,
        "width": 340,
        "height": 720,
        "content": "## \ud83d\udce7 Step 5: Email Delivery\n**Send a message - \u30ec\u30dd\u30fc\u30c8\u9001\u4fe1**\n\n\u5b8c\u6210\u3057\u305fHTML\u30ec\u30dd\u30fc\u30c8\u3092Gmail\u7d4c\u7531\u3067\u9001\u4fe1\u3057\u307e\u3059\u3002\n\n**\u9001\u4fe1\u8a2d\u5b9a\uff1a**\n- \u9001\u4fe1\u5148\uff1aTo\u3067\u9001\u4fe1\u5148\u3092\u8a2d\u5b9a\n- \u4ef6\u540d\uff1a\u5165\u529b\u3055\u308c\u305f\u8cea\u554f\n- \u672c\u6587\uff1aHTML\u30ec\u30dd\u30fc\u30c8\n\n**\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\uff1a** \u9001\u4fe1\u5148\u30e1\u30fc\u30eb\u30a2\u30c9\u30ec\u30b9\u3092\u9069\u5207\u306b\u5909\u66f4\u3057\u3066\u304f\u3060\u3055\u3044"
      },
      "typeVersion": 1
    },
    {
      "id": "5575b0b2-68ef-4e9c-8cdf-b01bdc858f69",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -300,
        340
      ],
      "parameters": {
        "width": 560,
        "height": 360,
        "content": "## \ud83d\udca1 Customization Tips\n\n**\u30af\u30a8\u30ea\u306e\u6700\u9069\u5316**\n- \u5177\u4f53\u7684\u3067\u660e\u78ba\u306a\u8cea\u554f\u3092\u5165\u529b\n- \u6bd4\u8f03\u5206\u6790\u7cfb\u306e\u8cea\u554f\u304c\u7279\u306b\u52b9\u679c\u7684\n- \u65e5\u672c\u8a9e\u3067\u306e\u5165\u529b\u3092\u63a8\u5968\n\n**\u30ec\u30dd\u30fc\u30c8\u54c1\u8cea\u5411\u4e0a**\n- \u3088\u308a\u8a73\u7d30\u306a\u8abf\u67fb\u304c\u5fc5\u8981\u306a\u5834\u5408\u306fmax_results\u3092\u5897\u52a0\n- \u30af\u30a8\u30ea\u306e\u6570\u30923\u3064\u4ee5\u4e0a\u306b\u5897\u3084\u3059\n- \u7279\u5b9a\u5206\u91ce\u306b\u7279\u5316\u3059\u308b\u5834\u5408\u306fsystem message\u3092\u8abf\u6574\n\n**\u914d\u4fe1\u8a2d\u5b9a**\n- \u8907\u6570\u306e\u5b9b\u5148\u306b\u9001\u4fe1\u3059\u308b\u5834\u5408\u306fSend a message\u30ce\u30fc\u30c9\u3092\u8907\u88fd\n- \u5b9a\u671f\u5b9f\u884c\u3059\u308b\u5834\u5408\u306fCron Trigger\u3092\u8ffd\u52a0\u691c\u8a0e"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "d5e15813-1520-4e67-ad60-557748e836bb",
  "connections": {
    "query": {
      "main": [
        [
          {
            "node": "Query Generator",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Report Agent": {
      "main": [
        [
          {
            "node": "Send a message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Research Agent": {
      "main": [
        [
          {
            "node": "Report Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Query Generator": {
      "main": [
        [
          {
            "node": "Research Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Tavily_Search_Tool": {
      "ai_tool": [
        [
          {
            "node": "Research Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Query Generator",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Query Generator",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Research Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Report Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \u2018Execute workflow\u2019": {
      "main": [
        [
          {
            "node": "query",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

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About this workflow

simple_deepresearch_for_Japanese_users_for_publish. Uses agent, lmChatGoogleGemini, outputParserStructured, @tavily/n8n-nodes-tavily. Event-driven trigger; 18 nodes.

Source: https://github.com/djeknet/n8n-master-workflows/blob/1c4f12d01b446cbee928c81cfa7901ade7bbdb09/AI_RAG/Generate_Comprehensive_Research_Reports_with_Gemini_AI_and_Tavily_Search_for_Japanese_Users.json — original creator credit. Request a take-down →

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