DeepSeek AI、Qdrantベクトルデータベース、Google Driveを基盤とした自動書籍要約

上級

これはOther, AI分野の自動化ワークフローで、23個のノードを含みます。主にCode, SplitOut, GoogleDrive, HttpRequest, Agent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。 DeepSeek AI、Qdrantベクトルデータベース、Google Driveを基盤にした自動書籍要約

前提条件
  • 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
  • Qdrantサーバー接続情報

カテゴリー

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": "2d54f61dfd963457efb86a8690aae457934e92fb9e4b8b6490ca74fc37094458",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "3f411206-145f-44d0-a76b-99b5dc1f7123",
      "name": "Qdrant ベクトルストア",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "be9b15f1-e1c7-4cc7-9a01-a9beb9d7d4b4",
      "name": "再帰的文字テキストスプリッター",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        -60,
        1720
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d21c69ae-9507-446b-9970-c7a0016d76f7",
      "name": "Default Data Loader1",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "0cad85f2-f81c-4fab-8965-f7183ee3044b",
      "name": "AI エージェント",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1.8
    },
    {
      "id": "86d6218e-d08c-4617-877a-6a7502757553",
      "name": "シンプルメモリ",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
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      "name": "コード",
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      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "31a80013-f03b-412b-bf94-fcf9bc3d702c",
      "name": "Google ドライブ (create)",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
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      "parameters": {},
      "typeVersion": 3
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    {
      "id": "ddcf1fca-49bf-4a32-9e0e-44379b881146",
      "name": "Delete Collection",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
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      "parameters": {},
      "executeOnce": true,
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    {
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      "name": "質問応答チェーン",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
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      "parameters": {},
      "typeVersion": 1.5
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    {
      "id": "b754b1d2-bb78-477f-9c9d-d68c099c4b92",
      "name": "ベクトルストア Retriever",
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      "parameters": {},
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      "name": "qdrant_search",
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      "position": [
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      "parameters": {},
      "typeVersion": 1.1
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    {
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      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
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      ],
      "parameters": {},
      "typeVersion": 1
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    {
      "id": "e3bbef67-77da-4734-ba84-813905b9ea4d",
      "name": "情報抽出器",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "32baf487-c74b-417c-a6c3-dd71bb461ca2",
      "name": "分割出力",
      "type": "n8n-nodes-base.splitOut",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d81aff3f-23ce-483f-b902-9de71709b1f6",
      "name": "Response",
      "type": "n8n-nodes-base.code",
      "position": [
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        1060
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "64c22221-a18d-4442-a62b-3d19ff950e40",
      "name": "Google ドライブ",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 3
    },
    {
      "id": "3029008c-7bdd-4ab7-871a-60e324e9024f",
      "name": "File Created",
      "type": "n8n-nodes-base.googleDriveTrigger",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "9bed63eb-3b6c-4506-8570-9ff7afdcd7f8",
      "name": "input",
      "type": "n8n-nodes-base.code",
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      "parameters": {},
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    {
      "id": "d346f5df-d0e9-4e80-9eee-50b5b7c89ad9",
      "name": "DeepSeek Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatDeepSeek",
      "position": [
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      "parameters": {},
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    {
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    {
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  "pinData": {},
  "connections": {
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            "index": 0
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    "Code": {
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    },
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        ]
      ]
    },
    "AI Agent": {
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    "d81aff3f-23ce-483f-b902-9de71709b1f6": {
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    "Embeddings Cohere": {
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            "node": "Qdrant Vector Store",
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    },
    "Qdrant Vector Store": {
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            "type": "main",
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    "d21c69ae-9507-446b-9970-c7a0016d76f7": {
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    "Qdrant Vector Store1": {
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            "node": "Vector Store Retriever",
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    },
    "Information Extractor": {
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          }
        ]
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    },
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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 - その他, 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。

ワークフロー情報
難易度
上級
ノード数23
カテゴリー2
ノードタイプ16
難易度説明

上級者向け、16ノード以上の複雑なワークフロー

作成者
Adam Crafts

Adam Crafts

@adamcrafts

As an experienced AI Agent Builder, I specialize in creating intelligent solutions tailored to enhance automation, streamline operations, and drive innovation. 🛠️ My passion lies in transforming ideas into functional AI agents that deliver tangible results.

外部リンク
n8n.ioで表示

このワークフローを共有

カテゴリー

カテゴリー: 34