Telegram AIサポートチャットボット（マルチモーダル入力）
上級
これはSupport Chatbot, AI RAG分野の自動化ワークフローで、51個のノードを含みます。主にIf, Set, Code, Switch, Telegramなどのノードを使用。 GPT-4とSupabase RAGを使って多言語Telegramサポートボットを作成
前提条件
- •Telegram Bot Token
- •Google Drive API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
- •PostgreSQLデータベース接続情報
- •Supabase URL と API Key
使用ノード (51)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "pE6f3n6i6GUmSTgE",
"meta": {
"instanceId": "9f0f18185ff67394d162d12e4c08dd0fcafc744c1f810dda24cdefd72c8a1df1",
"templateCredsSetupCompleted": true
},
"name": "Telegram AI Support Chatbot with Multi-Modal Inputs",
"tags": [
{
"id": "Hsf1ZjQwJBHNaX1m",
"name": "telegram",
"createdAt": "2025-06-30T13:02:48.515Z",
"updatedAt": "2025-06-30T13:02:48.515Z"
},
{
"id": "b0xPsiva0fSoITZd",
"name": "Ai agent",
"createdAt": "2025-06-30T13:02:48.451Z",
"updatedAt": "2025-06-30T13:02:48.451Z"
},
{
"id": "fvM6EUbE34rR2wmT",
"name": "customer support",
"createdAt": "2025-06-30T13:02:48.420Z",
"updatedAt": "2025-06-30T13:02:48.420Z"
},
{
"id": "w2QpLU5syMOj79qo",
"name": "chatbot",
"createdAt": "2025-06-30T13:02:48.473Z",
"updatedAt": "2025-06-30T13:02:48.473Z"
}
],
"nodes": [
{
"id": "2bcc338a-d519-42dd-bffd-9b5854b3a456",
"name": "Telegram Trigger",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
860,
489.5
],
"webhookId": "5dfaa8fa-e242-4581-9ba4-a8dd27fdb5cd",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "ebc22166-b749-42c7-9d91-9fef170c6b65",
"name": "Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
3896,
1156.5
],
"webhookId": "3f88dafc-b70c-4241-9960-d02d8e5c76d4",
"parameters": {
"text": "={{ $json.output }}",
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "343b5290-d805-4136-a609-b12025df5339",
"name": "音声ダウンロード",
"type": "n8n-nodes-base.telegram",
"position": [
2840,
500
],
"webhookId": "d3e9d36d-6402-45d6-9f56-5886e616f9fa",
"parameters": {
"fileId": "={{ $json.message.voice.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "8d5bd08c-5b59-4bff-97b1-ffca75262d1b",
"name": "テキストへの翻訳",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
3060,
500
],
"parameters": {
"options": {},
"resource": "audio",
"operation": "translate"
},
"credentials": {
"openAiApi": {
"id": "SFP1ZJopx1UD494m",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.8
},
{
"id": "3def7806-cf50-4fc8-a2c6-ea966cd0bd4e",
"name": "PDFダウンロード",
"type": "n8n-nodes-base.telegram",
"position": [
2620,
1050
],
"webhookId": "c9a95ea8-9864-4bfe-9bc4-36ad917741ec",
"parameters": {
"fileId": "={{ $json.message.document.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "29624835-cc63-489f-8913-ece65ecf46f2",
"name": "画像ダウンロード",
"type": "n8n-nodes-base.telegram",
"position": [
2180,
1250
],
"webhookId": "38d23405-f59b-4dbc-a69e-b1101e198908",
"parameters": {
"fileId": "={{ $json.message.document.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "11755226-785d-4719-9d75-d82518ed615b",
"name": "MIMEタイプ修正",
"type": "n8n-nodes-base.code",
"position": [
2400,
1250
],
"parameters": {
"jsCode": "for (const item of items) {\n if (item.binary && item.binary['data']) {\n const fileName = item.binary['data'].fileName || '';\n const lowerName = fileName.toLowerCase();\n\n if (lowerName.endsWith('.png')) {\n item.binary['data'].mimeType = 'image/png';\n } else if (lowerName.endsWith('.jpg') || lowerName.endsWith('.jpeg')) {\n item.binary['data'].mimeType = 'image/jpeg';\n } else if (lowerName.endsWith('.webp')) {\n item.binary['data'].mimeType = 'image/webp';\n }\n }\n}\nreturn items;\n\n\n\n\n"
},
"typeVersion": 2
},
{
"id": "2d7fe3f6-d152-4b6d-8184-96f1073c73c6",
"name": "写真ダウンロード",
"type": "n8n-nodes-base.telegram",
"position": [
2180,
700
],
"webhookId": "b4a21f4c-e6a6-4c83-9e8e-af73cb7cc96a",
"parameters": {
"fileId": "={{ $json.message.photo[0].file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "802f819c-9d11-4720-a63f-0d3bada509bf",
"name": "MIMEタイプ修正1",
"type": "n8n-nodes-base.code",
"position": [
2400,
700
],
"parameters": {
"jsCode": "for (const item of items) {\n if (item.binary && item.binary['data']) {\n const fileName = item.binary['data'].fileName || '';\n const lowerName = fileName.toLowerCase();\n\n if (lowerName.endsWith('.png')) {\n item.binary['data'].mimeType = 'image/png';\n } else if (lowerName.endsWith('.jpg') || lowerName.endsWith('.jpeg')) {\n item.binary['data'].mimeType = 'image/jpeg';\n } else if (lowerName.endsWith('.webp')) {\n item.binary['data'].mimeType = 'image/webp';\n } else if (lowerName.endsWith('.gif')) {\n item.binary['data'].mimeType = 'image/gif';\n }\n }\n}\nreturn items;\n\n\n\n/** This is for jpeg. Delete later\nfor (const item of items) {\n if (item.binary && item.binary['data']) {\n item.binary['data'].mimeType = 'image/jpeg';\n }\n}\nreturn items;\n**/\n\n"
},
"typeVersion": 2
},
{
"id": "e245a098-08ba-4cf1-a3aa-3134070016ae",
"name": "写真からテキストへ",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2620,
700
],
"parameters": {
"text": "Describe the contents of this photo/image",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"resource": "image",
"inputType": "base64",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"id": "SFP1ZJopx1UD494m",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.8
},
{
"id": "74df7c06-f07f-4504-a246-33665d355d70",
"name": "条件分岐",
"type": "n8n-nodes-base.if",
"position": [
1520,
1350
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "95deb83e-1d69-46b6-92e3-59e667d698fe",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.is_supported }}",
"rightValue": ""
},
{
"id": "5d9924b8-b8e7-4640-9675-8123e1562fa8",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.reason }}",
"rightValue": "supported_file_type"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "531826bd-e8ab-4e56-9f56-4e0dd8847c2f",
"name": "スプレッドシートダウンロード",
"type": "n8n-nodes-base.telegram",
"position": [
2620,
1650
],
"webhookId": "fa2ada79-935b-4ea4-9a0c-a452d13c7a0c",
"parameters": {
"fileId": "={{ $json.message.document.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "6ffa7f95-c506-40ff-a320-f2b8b35db632",
"name": "PDFからの抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
2840,
1050
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "795a57de-78c6-44e8-a89b-a45c354988c9",
"name": "スプレッドシートからの抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
2840,
1650
],
"parameters": {
"options": {},
"operation": "xlsx"
},
"typeVersion": 1
},
{
"id": "f567e9a4-e043-4431-b574-b217b4fa2656",
"name": "入力中…",
"type": "n8n-nodes-base.telegram",
"position": [
1080,
379
],
"webhookId": "412793ca-7cad-4a84-acea-98debbbfa2ac",
"parameters": {
"chatId": "={{ $json.message.chat.id }}",
"operation": "sendChatAction"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "67edb91b-880e-4542-88e7-fc7bde727a75",
"name": "対応文書ファイルタイプ",
"type": "n8n-nodes-base.code",
"position": [
1300,
1350
],
"parameters": {
"jsCode": "const supportedExtensions = ['.jpg', '.jpeg', '.png', '.webp', '.pdf', '.doc', '.docx', '.xls', '.xlsx', '.json', '.xml'];\n\nreturn $input.all().map(item => {\n // Try to extract file name from binary first, else fall back to message.document\n const fileName = item.binary?.data?.fileName || item.json?.message?.document?.file_name || '';\n const lowerName = fileName.toLowerCase();\n\n const isSupported = supportedExtensions.some(ext => lowerName.endsWith(ext));\n\n if (!isSupported) {\n return {\n json: {\n is_supported: false,\n reason: \"unsupported_file_type\",\n message: '❌ The uploaded file type is not supported. Please submit one of the following formats: .jpg, jpeg, .png, .webp, .pdf, .doc, .docx, .xls, .xlsx, .json, .xml',\n fileName: fileName || 'Unknown file'\n }\n };\n }\n\n // File is supported – pass it forward untouched\n return {\n ...item,\n json: {\n ...(item.json || {}),\n is_supported: true,\n reason: \"supported_file_type\"\n }\n };\n});\n"
},
"typeVersion": 2
},
{
"id": "5c13b643-22c6-49cb-9055-54826f49fd13",
"name": "類似文書のグループ化",
"type": "n8n-nodes-base.code",
"position": [
1740,
1550
],
"parameters": {
"jsCode": "const results = [];\nfor (const item of $input.all()) {\nconst fileName = item.json?.fileName || item.json?.message?.document?.file_name || '';\nconst ext = fileName.toLowerCase().split('.').pop();\n\nlet type = 'unknown';\nif (['jpg', 'jpeg', 'png', 'webp'].includes(ext)) {\ntype = 'image';\n} else if (['pdf'].includes(ext)) {\ntype = 'pdf';\n} else if (['doc', 'docx'].includes(ext)) {\ntype = 'word document';\n} else if (['xls', 'xlsx'].includes(ext)) {\ntype = 'spreadsheet';\n} else if (['json'].includes(ext)) {\ntype = 'json';\n} else if (['xml'].includes(ext)) {\ntype = 'xml file'\n}\nitem.json.fileTypeCategory = type;\nresults.push(item);\n}\nreturn results;\n"
},
"typeVersion": 2
},
{
"id": "1923a439-9f1c-4df1-9360-a41250e61931",
"name": "入力メッセージルーター",
"type": "n8n-nodes-base.switch",
"position": [
1080,
579
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "fcb767ee-565e-4b56-a54e-6f97f739fc24",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.text }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Audio",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c1016c40-f8f2-4e08-8ec8-5cdb88f5c87a",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.voice }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Photo",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4f28ab72-33ae-45fa-b3ba-51cefe600434",
"operator": {
"type": "array",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.photo }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Document",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "47b17a80-c23f-4b7c-9761-f045715334f4",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.document }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "510a0800-4323-4372-9f8a-3b3c26d8a455",
"name": "文書ルーター",
"type": "n8n-nodes-base.switch",
"position": [
1960,
1487
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Image",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "b688a3fb-8070-4506-9c9d-526d74c2605b",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileTypeCategory }}",
"rightValue": "image"
}
]
},
"renameOutput": true
},
{
"outputKey": "PDF",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "157a49a2-d5fb-425d-bb23-6ac16bdc45a2",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileTypeCategory }}",
"rightValue": "pdf"
}
]
},
"renameOutput": true
},
{
"outputKey": "Word Document",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "41b0d6a4-89a7-4e3b-9e4a-00689def90aa",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileTypeCategory }}",
"rightValue": "word document"
}
]
},
"renameOutput": true
},
{
"outputKey": "Spreadsheet",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "478f9497-7fc8-46e9-b834-22c78bbc7b05",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileTypeCategory }}",
"rightValue": "spreadsheet"
}
]
},
"renameOutput": true
},
{
"outputKey": "JSON",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d90c32c0-9d28-40d1-b11c-4fa9a14b7df5",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileTypeCategory }}",
"rightValue": "json"
}
]
},
"renameOutput": true
},
{
"outputKey": "XML File",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4d4f7af7-ca8f-4a22-9af1-b3c93f51958f",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileTypeCategory }}",
"rightValue": "xml file"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "8c04ffbb-9a63-4089-8877-c0c668eeabcc",
"name": "JSON ダウンロード",
"type": "n8n-nodes-base.telegram",
"position": [
2620,
1850
],
"webhookId": "a364075a-9edc-4624-b867-15710db87e8d",
"parameters": {
"fileId": "={{ $json.message.document.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "06a353d1-1ead-4973-aeff-4991ae2ca29f",
"name": "JSON からの抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
2840,
1850
],
"parameters": {
"options": {},
"operation": "fromJson"
},
"typeVersion": 1
},
{
"id": "376ab859-3a6a-4f2d-80da-f0ab8c5149f6",
"name": "XML ダウンロード",
"type": "n8n-nodes-base.telegram",
"position": [
2620,
2050
],
"webhookId": "db40435f-f201-4156-aa2d-9c5285dabbe4",
"parameters": {
"fileId": "={{ $json.message.document.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "a4c890b7-d858-42aa-9e60-746ce6b6d17b",
"name": "XML からの抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
2840,
2050
],
"parameters": {
"options": {},
"operation": "xml"
},
"typeVersion": 1
},
{
"id": "d91df63b-926b-43f5-9846-14cdde235b8d",
"name": "Word文書ダウンロード",
"type": "n8n-nodes-base.telegram",
"position": [
2180,
1450
],
"webhookId": "559f8f6c-743e-415a-bdbf-45360dd5f115",
"parameters": {
"fileId": "={{ $json.message.document.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WCLbjm37GUpYDc78",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "8a4fecf9-c50e-44ce-a4ce-c60713805f71",
"name": "Base64への変換",
"type": "n8n-nodes-base.extractFromFile",
"position": [
2400,
1450
],
"parameters": {
"options": {},
"operation": "binaryToPropery"
},
"typeVersion": 1
},
{
"id": "b40a6b1f-0a8e-4788-ae3a-17138cf5918e",
"name": "テキスト変換 (convertapi.com)",
"type": "n8n-nodes-base.httpRequest",
"position": [
2620,
1450
],
"parameters": {
"url": "https://v2.convertapi.com/convert/docx/to/txt",
"method": "POST",
"options": {},
"jsonBody": "={\n \"Parameters\": [\n {\n \"Name\": \"File\",\n \"FileValue\": {\n \"Name\": \"{{ $('Download Word Document').item.binary.data.fileName }}\",\n \"Data\": \"{{ $json.data }}\"\n }\n },\n {\n \"Name\": \"StoreFile\",\n \"Value\": true\n }\n ]\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer YOUR_API_KEY_HERE"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "59fad9e4-dbfc-4f6b-bfad-156b821e78dd",
"name": "テキストダウンロード",
"type": "n8n-nodes-base.httpRequest",
"position": [
2840,
1450
],
"parameters": {
"url": "={{ $json.Files[0].Url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "914ab0ed-f102-4fa3-9db3-cf097b92c0ec",
"name": "写真からテキストへ1",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2620,
1250
],
"parameters": {
"text": "Describe the content of this image.",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {
"detail": "auto"
},
"resource": "image",
"inputType": "base64",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"id": "SFP1ZJopx1UD494m",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.8
},
{
"id": "9f4e250c-fb80-4b96-a9c6-d4fd47382985",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
1280
],
"parameters": {
"color": 4,
"width": 620,
"height": 260,
"content": "\n\n## Requirement/Credentials\n1. Google drive API Key\n2. Telegram Bot Token. [Guide](https://docs.n8n.io/integrations/builtin/credentials/telegram/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\n3. OpenAI API Key.\n4. Supabase API Key + Environment.\n5. ConvertAPI Key.\n6. Cohere API Key\n6. Postgres API Key. Or you can use n8n default simple memory node."
},
"typeVersion": 1
},
{
"id": "f38669dd-5f21-4bb6-9f4d-1768e629eb0e",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
440
],
"parameters": {
"width": 620,
"height": 800,
"content": "## ⚙️ How It Works \n### 🔁 Message Routing\n1. **Telegram Trigger** captures the user message (Text, Image, Voice, Document)\n2. **Message Router** routes input by type using a Switch node\n3. Each type is handled separately:\n - **Voice** → Translate recording to text (.ogg, .mp3)\n - **Image** → Analyze image to text.\n - **Text** → Sent directly to AI Agent (.txt).\n - **Document** → Parsed (e.g. .docx to .txt) accordingly.\n\n #### 📎 Document Type Routing\n Before routing documents by type, the **Supported Document File Types** node first checks if the file extension is allowed. If not supported, it exits early with an error message — preventing unnecessary processing.\nSupported documents are then routed using the **Document Router** node, and converted to text for further processing.\n\n #### Supported Document File Types\n **.jpg** **.jpeg** **.png** **.webp** **.pdf** **.doc** **.docx** **.xls** **.xlsx** **.json** **.xml**.\n\n4. The text content is combined with stored memory and embedded knowledge using a **RAG** approach, enabling the AI to respond based on real uploaded data.\n ### 🧠 RAG via Supabase\n Uploaded documents are vectorized using OpenAI Embeddings. Embeddings are stored in Supabase with metadata. On new questions, the chatbot:\n - Extracts question intent\n - Queries Supabase for semantically similar chunks\n - Injects them into the prompt for OpenAI. \n - OpenAI generates a grounded response based on actual document content.\n\n5. Response is sent to the Telegram user with content awareness."
},
"typeVersion": 1
},
{
"id": "ca3a50ef-8148-4bb7-810c-a14422791866",
"name": "「ワークフロー実行」クリック時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
860,
-160
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5f8a25d8-a8bb-4b01-a7b0-7ad7d58ab0c9",
"name": "ファイルダウンロード",
"type": "n8n-nodes-base.googleDrive",
"position": [
1080,
-160
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "19mt-vKtgLTvoqhR8TgbN9eSyGIkrrBjqjWfj8EDlZpU",
"cachedResultUrl": "https://docs.google.com/document/d/19mt-vKtgLTvoqhR8TgbN9eSyGIkrrBjqjWfj8EDlZpU/edit?usp=drivesdk",
"cachedResultName": "Conor's Cleaning - Knowledge Base Document"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "FVIK3OQQWPOoLCQq",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "3020c220-4e42-4c80-8bc8-7b93bc9a56e6",
"name": "デフォルトデータローダー1",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1420,
62.5
],
"parameters": {
"options": {},
"dataType": "binary",
"textSplittingMode": "custom"
},
"typeVersion": 1.1
},
{
"id": "cc3f97fa-842d-45ae-ac51-6def07bfed1e",
"name": "再帰的文字テキスト分割器1",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1508,
260
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "c448b82d-7145-4d46-a0e6-f2a01234331f",
"name": "OpenAI チャットモデル1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3280,
1376.5
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "SFP1ZJopx1UD494m",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.2
},
{
"id": "5c1f5765-6d8e-429d-80d6-c9b3b15d4525",
"name": "OpenAI 埋め込み",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1300,
60
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "SFP1ZJopx1UD494m",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.2
},
{
"id": "0e500c88-38e1-4388-b0ef-116f95cf609c",
"name": "OpenAI埋め込み1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
3548,
1576.5
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "SFP1ZJopx1UD494m",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.2
},
{
"id": "3ecaba71-3c29-42dd-8440-cd5c574241b9",
"name": "Postgresチャットメモリ",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
3400,
1376.5
],
"parameters": {
"sessionKey": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"sessionIdType": "customKey",
"contextWindowLength": 3
},
"credentials": {
"postgres": {
"id": "1uobuv6Ly2ne6tEo",
"name": "Postgres account"
}
},
"typeVersion": 1.3
},
{
"id": "086a122b-ffa3-43d5-9551-a8a9888c4bba",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
300,
-140
],
"parameters": {
"color": 3,
"width": 340,
"height": 220,
"content": "## ⚙️ Before using the Telegram chatbot:\nManually run this workflow to import your **Knowledge base** from Google drive into **Supabase** with vector embeddings.\nThis enables the Telegram chatbot to answer your questions based on real content."
},
"typeVersion": 1
},
{
"id": "4d151254-2466-4c9b-9099-16f78cdf939f",
"name": "Cohereリランカー",
"type": "@n8n/n8n-nodes-langchain.rerankerCohere",
"position": [
3668,
1576.5
],
"parameters": {},
"credentials": {
"cohereApi": {
"id": "I0Z04D8unX86r60W",
"name": "CohereApi account"
}
},
"typeVersion": 1
},
{
"id": "744219e9-66ef-45da-8d7c-a216862aca43",
"name": "テキスト抽出",
"type": "n8n-nodes-base.set",
"position": [
3060,
300
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "74f774a8-e230-44fe-8d46-7a0ce7f34b42",
"name": "text",
"type": "string",
"value": "={{ $json.message.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "76e0a4d6-8e34-4a87-9809-832c03d22097",
"name": "テキストとコンテンツの抽出",
"type": "n8n-nodes-base.set",
"position": [
2840,
700
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "5a6a5c34-c6bf-4d00-bb51-2ec5cd4af9e9",
"name": "text",
"type": "string",
"value": "=Photo content: {{ $json.content }}\n\nPhoto caption: {{ $('Telegram Trigger').item.json.message.caption }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c366d6dc-bcf0-4bf8-952e-e4565e198c3a",
"name": "エラーメッセージ抽出",
"type": "n8n-nodes-base.set",
"position": [
3060,
850
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cd3cb375-33a8-479e-b320-6d43e23c906e",
"name": "text",
"type": "string",
"value": "={{ $json.message }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "89aa2812-0952-4ab5-8e3c-63e9ee7b9128",
"name": "テキスト抽出1",
"type": "n8n-nodes-base.set",
"position": [
3060,
1650
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "35b5e034-cf94-499c-967c-1aeb4edf1b58",
"name": "text",
"type": "string",
"value": "={{ $json }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5313c3b4-ecc9-47d0-a15d-33b4f7bb1b5b",
"name": "テキスト抽出2",
"type": "n8n-nodes-base.set",
"position": [
3060,
1850
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d480f972-a046-4ff1-9d19-ac586c372cbd",
"name": "text",
"type": "string",
"value": "={{ $json }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "676253d8-dc18-4915-9cff-8081bcb33f63",
"name": "テキスト抽出3",
"type": "n8n-nodes-base.set",
"position": [
3060,
2050
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "f7d3f22b-cca6-4d5d-9e70-b4075e542979",
"name": "text",
"type": "string",
"value": "={{ $json }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c3807fa7-c537-4454-a2ac-baa8996d2808",
"name": "テキスト抽出4",
"type": "n8n-nodes-base.set",
"position": [
3060,
1050
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "6bb76f62-7f3e-432d-9c96-4c1d1c3e15f1",
"name": "text",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "428f828e-bef8-425a-90dc-b53ef786216e",
"name": "テキスト抽出5",
"type": "n8n-nodes-base.set",
"position": [
3060,
1450
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d26a3dd0-8bb2-4f25-9c7d-3542dc039861",
"name": "text",
"type": "string",
"value": "={{ $json.data }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "9fe5eac7-98a4-40d4-8896-5af7ea86a278",
"name": "Supabase ベクトルDBへの追加",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
1316,
-160
],
"parameters": {
"mode": "insert",
"options": {},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
},
"credentials": {
"supabaseApi": {
"id": "3RkTGbP6tJA6ruj6",
"name": "Supabase account"
}
},
"typeVersion": 1.3
},
{
"id": "e080e0a0-053a-4648-87cf-ac322b423280",
"name": "ナレッジベースAIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
3312,
1156.5
],
"parameters": {
"text": "={{ $json.text }}",
"options": {
"systemMessage": ""
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "d5cf1a5a-a84d-491e-922e-ce1628ab08db",
"name": "Supabase ベクトルストア検索",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
3520,
1379
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 10,
"options": {},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
},
"useReranker": true,
"toolDescription": "Retrieve information about Conor’s Cleaning from the Supabase vector store."
},
"credentials": {
"supabaseApi": {
"id": "3RkTGbP6tJA6ruj6",
"name": "Supabase account"
}
},
"typeVersion": 1.3
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "2fa6bed8-34b0-43c2-9ac0-6a77a9e60381",
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}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - サポートチャットボット, AI RAG検索拡張
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
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ノードタイプ20
作成者
Ezema Kingsley Chibuzo
@kingsleyAutomation developer and AI workflow specialist with experience building end-to-end systems using n8n, OpenAI, Supabase, and other modern tools. I help businesses save time and scale operations through smart automation, AI agents, and no-code integrations.
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