スマートな知識アシスタント
上級
これはSupport, AI分野の自動化ワークフローで、26個のノードを含みます。主にSet, Code, Telegram, GoogleDocs, ManualTriggerなどのノードを使用、AI技術を活用したスマート自動化を実現。 Telegram 上で GPT-4o-mini、RAG、RLHF を使用して、スマート知識アシスタントを構築し、MongoDB を統合
前提条件
- •Telegram Bot Token
- •OpenAI API Key
- •MongoDB接続文字列
使用ノード (26)
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
{
"meta": {
"instanceId": "074f90e2bb5206c5f405a8aac6551497c72005283a5405fb08207b1b3a78c2b8",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "e39a0b25-53ce-4ac0-9c93-7750b8e6105b",
"name": "ナレッジベースエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
220,
0
],
"parameters": {
"text": "={{ $json.message.text }}",
"options": {
"systemMessage": "You are the AI assistant for a company specializing in advanced technology solutions. Your task is to help internal users by consulting the official product documentation for the company’s platforms.\n\nAvailable References:\n\nproductDocs: Step-by-step guides, technical configurations, and official manuals from the developer documentation.\n\nfeedbackPositive: Previous responses rated positively by users, useful as examples for generating high-quality answers.\n\nfeedbackNegative: Previous responses rated negatively by users. Use this tool to avoid making similar mistakes in your replies.\n\nCurrently, there are no use cases or update history documented in the available materials.\n\nBehavior Rules\n\nSearch & Response:\n\nAlways consult the official documentation first using the productDocs tool.\n\nAlso search feedbackPositive for highly rated previous responses to similar questions.\n\nCheck feedbackNegative to see if similar answers were poorly rated, and avoid repeating those mistakes.\n\nIf multiple tools return relevant results, combine the information to provide the best answer. If only one tool returns relevant content, use that as your source.\n\nRespond directly and clearly, explaining exactly how to perform the requested task.\n\nDo not filter by category unless the user explicitly asks.\n\nLanguage (Strict Per-Message Rule):\n\nDetect the language of each incoming message individually.\n\nRespond in the same language as the most recent message.\n\nDo not use the language of previous messages or conversation history to decide the language.\n\nLinks (Not Allowed):\n\nNever provide links, even if the user requests them.\n\nIf a user asks for a link, respond with:\n“I cannot provide links. If you need specific information, let me know and I will help with the details.”\n\nResponse Style:\n\nUse a professional, direct, and human tone.\n\nKeep responses between 2 and 4 lines unless the user asks for more detail.\n\nDo not make up information that isn’t in MongoDB.\n\nIf your answer contains numbered steps or lists, always number them sequentially (1, 2, 3...) without skipping or repeating numbers, even if the original content uses a different numbering style."
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "775b7991-88f3-4959-a068-3fb2b667567e",
"name": "OpenAI チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
200,
180
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "cJRah9hGPQ7eX4jd",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "4c2e0ea6-f5d0-4d5b-a065-606b2dc2cff5",
"name": "埋め込み OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
440,
460
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "cJRah9hGPQ7eX4jd",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "2f813af6-3432-4201-93d0-ff503013642e",
"name": "ドキュメントセクションローダー",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
580,
-340
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "doc_id",
"value": "={{ $json.documentId }}"
}
]
}
},
"jsonData": "={{ $json.content }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "c6386d7b-f3cb-4884-9477-a69e9743e6c6",
"name": "ドキュメントチャンカー",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
560,
-220
],
"parameters": {
"options": {
"splitCode": "markdown"
},
"chunkSize": 3000,
"chunkOverlap": 200
},
"typeVersion": 1
},
{
"id": "4ff1a843-5e1c-4a23-bdf3-2fdc91ba7032",
"name": "OpenAI 埋め込み生成器",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
440,
-340
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "cJRah9hGPQ7eX4jd",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "64624ed6-cbb2-43c1-b348-df92f26d8efe",
"name": "Google ドキュメントインポーター",
"type": "n8n-nodes-base.googleDocs",
"position": [
220,
-520
],
"parameters": {
"operation": "get",
"documentURL": "https://docs.google.com/document/d/1gvgp71e9edob8WLqFIYCdzC7kUq3pLO37VKb-a-vVW4/edit?tab=t.0"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "FNXMwqMf7vl1WUFj",
"name": "Google Docs account"
}
},
"typeVersion": 2
},
{
"id": "09c262ab-ba89-429c-b8a8-41c3ae79d97c",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-420,
-500
],
"parameters": {
"color": 5,
"content": "Run this workflow manually to import and index Google Docs product documentation into MongoDB with vector embeddings for fast search."
},
"typeVersion": 1
},
{
"id": "f309ff4a-194f-413a-b8f5-d8210cb5e0c6",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-420,
40
],
"parameters": {
"color": 4,
"height": 180,
"content": "This workflow uses retrieval-augmented generation (RAG) to answer user questions by searching the MongoDB vector store and generating AI responses enhanced with Telegram-based RLHF feedback."
},
"typeVersion": 1
},
{
"id": "caf481b3-7a19-40df-b5fb-52e74a8edd73",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1800,
-480
],
"parameters": {
"width": 520,
"height": 1040,
"content": "Documentation Search Index\n\n{\n \"mappings\": {\n \"dynamic\": false,\n \"fields\": {\n \"_id\": {\n \"type\": \"string\"\n },\n \"text\": {\n \"type\": \"string\"\n },\n \"embedding\": {\n \"type\": \"knnVector\",\n \"dimensions\": 1536,\n \"similarity\": \"cosine\"\n },\n \"source\": {\n \"type\": \"string\"\n },\n \"doc_id\": {\n \"type\": \"string\"\n }\n }\n }\n}\n\n\nFeedback Search Index\n\n{\n \"mappings\": {\n \"dynamic\": false,\n \"fields\": {\n \"prompt\": {\n \"type\": \"string\"\n },\n \"response\": {\n \"type\": \"string\"\n },\n \"text\": {\n \"type\": \"string\"\n },\n \"embedding\": {\n \"type\": \"knnVector\",\n \"dimensions\": 1536,\n \"similarity\": \"cosine\"\n },\n \"feedback\": {\n \"type\": \"token\"\n }\n }\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "8a3abf9e-6f3f-47cf-b9ec-bb9da9835e5c",
"name": "「ワークフロー実行」クリック時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
0,
-520
],
"parameters": {},
"typeVersion": 1
},
{
"id": "4235ba8c-d671-40b8-b3a4-d7cccac36d54",
"name": "MongoDB チャットメモリ",
"type": "@n8n/n8n-nodes-langchain.memoryMongoDbChat",
"position": [
320,
180
],
"parameters": {
"sessionKey": "={{ $('Receive Message on Telegram').item.json.message.chat.id }}",
"sessionIdType": "customKey",
"collectionName": "n8n-template-chat-history"
},
"credentials": {
"mongoDb": {
"id": "7riubYENUDZsmjyK",
"name": "MongoDB account 2"
}
},
"typeVersion": 1
},
{
"id": "000e272a-3f19-4c17-86b5-07505eba2c3b",
"name": "埋め込み OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
160,
440
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "cJRah9hGPQ7eX4jd",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "dca02c04-2921-4982-83a3-6b2f6fb32663",
"name": "デフォルトデータローダー",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1400,
180
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "prompt",
"value": "={{ $json.prompt }}"
},
{
"name": "response",
"value": "={{ $json.response }}"
},
{
"name": "feedback",
"value": "={{ $json.feedback }}"
}
]
}
},
"jsonData": "={{ $json.text }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "757073e3-f8b5-42b5-ab02-d310d5f6e8a4",
"name": "再帰的文字テキスト分割器",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1380,
300
],
"parameters": {
"options": {},
"chunkSize": 4000
},
"typeVersion": 1
},
{
"id": "588ef94b-9723-440a-ac13-d97d744ae26d",
"name": "埋め込み OpenAI3",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
320,
720
],
"parameters": {
"options": {}
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"credentials": {
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"id": "cJRah9hGPQ7eX4jd",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "355654d8-95e2-4337-9b1f-af2a08573f08",
"name": "ポジティブインタラクション検索",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
"position": [
160,
320
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {
"metadata": {
"metadataValues": [
{
"name": "feedback",
"value": "positive"
}
]
}
},
"toolName": "feedbackPositive",
"mongoCollection": {
"__rl": true,
"mode": "list",
"value": "n8n-template-feedback",
"cachedResultName": "n8n-template-feedback"
},
"toolDescription": "Retrieve previous examples of similar questions that were rated positively by users. Use this tool before responding to improve your answer based on those approved examples.",
"vectorIndexName": "template-feedback-search"
},
"credentials": {
"mongoDb": {
"id": "7riubYENUDZsmjyK",
"name": "MongoDB account 2"
}
},
"typeVersion": 1.1
},
{
"id": "84a95dfb-6cc4-4a18-be40-6fa201073750",
"name": "ドキュメント検索",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
"position": [
440,
320
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {},
"toolName": "productDocs",
"mongoCollection": {
"__rl": true,
"mode": "list",
"value": "n8n-template",
"cachedResultName": "n8n-template"
},
"toolDescription": "retreive documentation",
"vectorIndexName": "data_index"
},
"credentials": {
"mongoDb": {
"id": "7riubYENUDZsmjyK",
"name": "MongoDB account 2"
}
},
"typeVersion": 1.1
},
{
"id": "f2001c81-081b-4417-8349-3db459c0f191",
"name": "ネガティブインタラクション検索",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
"position": [
240,
580
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {
"metadata": {
"metadataValues": [
{
"name": "feedback",
"value": "negative"
}
]
}
},
"toolName": "feedbackNegative",
"mongoCollection": {
"__rl": true,
"mode": "list",
"value": "n8n-template-feedback",
"cachedResultName": "n8n-template-feedback"
},
"toolDescription": "Retrieve previous examples of similar questions that were rated negatively by users. Use this tool before responding to avoid generating answers similar to those that did not work well in the past.",
"vectorIndexName": "template-feedback-search"
},
"credentials": {
"mongoDb": {
"id": "7riubYENUDZsmjyK",
"name": "MongoDB account 2"
}
},
"typeVersion": 1.1
},
{
"id": "1a0de194-3508-4d21-b1a2-35c3b4a998c1",
"name": "Telegram でメッセージ受信",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
0,
0
],
"webhookId": "fff1b90c-59ce-406b-a7f0-08953c90c0ce",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "wb9guorEXe6W5V8C",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "92458560-feb5-40df-b52a-ec1c5156829d",
"name": "Telegram でメッセージ送信、フィードバック待機",
"type": "n8n-nodes-base.telegram",
"position": [
600,
0
],
"webhookId": "ed8fc221-70ad-47df-b70e-6667c580553b",
"parameters": {
"chatId": "={{ $('Receive Message on Telegram').item.json.message.chat.id }}",
"message": "={{ $json.output }}",
"options": {
"appendAttribution": false
},
"operation": "sendAndWait",
"approvalOptions": {
"values": {
"approvalType": "double"
}
}
},
"credentials": {
"telegramApi": {
"id": "wb9guorEXe6W5V8C",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "ef40200d-5f19-4199-8ae3-9f2e0f52ac1b",
"name": "フィードバックデータのマッピング",
"type": "n8n-nodes-base.code",
"position": [
820,
0
],
"parameters": {
"jsCode": "let response;\n\nif ($input.first().json.data.approved) {\n response = \"positive\"\n} \nelse {\n response = \"negative\"\n}\n\nreturn {\n feedback: response\n}\n"
},
"typeVersion": 2
},
{
"id": "d688073c-9a97-4b39-9640-c368cccf3491",
"name": "コレクション保存用フィードバックフィールド設定",
"type": "n8n-nodes-base.set",
"position": [
1040,
0
],
"parameters": {
"values": {
"string": [
{
"name": "prompt",
"value": "={{ $('Receive Message on Telegram').item.json.message.text }}"
},
{
"name": "response",
"value": "={{ $('Knowledge Base Agent').item.json.output }}"
},
{
"name": "text",
"value": "=Prompt: {{ $('Receive Message on Telegram').item.json.message.text }}. Completion: {{ $('Knowledge Base Agent').item.json.output }}"
},
{
"name": "feedback",
"value": "={{ $json.feedback }}"
}
]
},
"options": {},
"keepOnlySet": true
},
"typeVersion": 1
},
{
"id": "9907480f-3e5d-4240-adbb-790be2d68496",
"name": "埋め込みチャットフィードバック送信",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
"position": [
1260,
0
],
"parameters": {
"mode": "insert",
"options": {},
"mongoCollection": {
"__rl": true,
"mode": "list",
"value": "n8n-template-feedback",
"cachedResultName": "n8n-template-feedback"
},
"vectorIndexName": "template-feedback-search",
"embeddingBatchSize": 1
},
"credentials": {
"mongoDb": {
"id": "7riubYENUDZsmjyK",
"name": "MongoDB account 2"
}
},
"typeVersion": 1.1
},
{
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"name": "OpenAI 埋め込み生成器1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
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180
],
"parameters": {
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},
"credentials": {
"openAiApi": {
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"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
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"name": "MongoDB ドキュメント挿入器",
"type": "@n8n/n8n-nodes-langchain.vectorStoreMongoDBAtlas",
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],
"parameters": {
"mode": "insert",
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"mode": "list",
"value": "n8n-template",
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},
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"credentials": {
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"name": "MongoDB account 2"
}
},
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}
],
"pinData": {},
"connections": {
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{
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},
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},
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},
"fdc22256-f014-4ed0-8781-1abb20134b1a": {
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[]
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[
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},
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"92458560-feb5-40df-b52a-ec1c5156829d": {
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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, 人工知能
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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難易度
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ノード数26
カテゴリー2
ノードタイプ14
作成者
NovaNode
@thomasgptNovaNode is a software factory building scalable AI for modern businesses. We specialize in omni-channel AI agents that automate customer support, sales, and operations across voice, WhatsApp, email, and chat. We serve both enterprise clients and SMEs, balancing deep integrations with speed and cost-efficiency. By combining automation with adaptability, we help companies scale faster and operate smarter. NovaNode is where AI meets execution.
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