ドキュメントを学習ノートに分解

• •Qdrantサーバー接続情報

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      "parameters": {
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    {
      "id": "df401e9e-2f70-4079-969b-6b61142fca37",
      "name": "各ドキュメントタイプについて...",
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      "parameters": {
        "qdrantCollection": {
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          "mode": "list",
          "value": "storynotes",
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      "name": "2秒待機",
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      "name": "生成ドキュメント取得",
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        "text": "=## Document\n{{ $json.text.join('\\n') }}",
        "messages": {
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              "message": "=Your job is to create a {{ $('For Each Doc Type...').item.json.title }} for the given document. {{ $('For Each Doc Type...').item.json.description }}\n\nGenerate a  {{ $('For Each Doc Type...').item.json.title }} for the given document. If questions are generated, generate the answers alongside them. Format your response in markdown; use \"#\" to format headings, use \"*\" to format lists."
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              "name": "id",
              "type": "string",
              "value": "={{ $('Settings').first().json.filename.hash() }}"
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              "id": "93ac14c1-ae97-4ef2-a66f-6c1110f3b0fc",
              "name": "project",
              "type": "string",
              "value": "={{ $('Settings').first().json.project }}"
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              "id": "fafd16b9-0002-4f7c-89d0-29788f8ec472",
              "name": "path",
              "type": "string",
              "value": "={{ $('Settings').first().json.path }}"
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        "fileName": "={{\n  $('Get Generated Documents').item.json.path.replace(\n    $('Get Generated Documents').item.json.path.split('/').last(),\n    $('Get Generated Documents').item.json.filename.substring(0,21) + '...' + $('Split Out Doc Types').item.json.title + '.md'\n  )\n}}",
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                      "operation": "equals"
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                    "leftValue": "={{ $json.fileType }}",
                    "rightValue": "pdf"
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              "renameOutput": true
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              "outputKey": "docx",
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                  "typeValidation": "strict"
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                      "operation": "equals"
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                    "leftValue": "={{ $json.fileType }}",
                    "rightValue": "docx"
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              },
              "renameOutput": true
            },
            {
              "outputKey": "everything else",
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      "type": "n8n-nodes-base.readWriteFile",
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      "parameters": {
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        "fileSelector": "={{ $json.path }}"
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      "typeVersion": 1
    },
    {
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      "name": "PDFから抽出",
      "type": "n8n-nodes-base.extractFromFile",
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      "parameters": {
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        "operation": "pdf"
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    },
    {
      "id": "f413e139-3f9c-438f-8e82-824c38f09c6b",
      "name": "DOCXから抽出",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
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      "parameters": {
        "options": {},
        "operation": "ods"
      },
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    },
    {
      "id": "455fadea-f5c7-4bea-983f-b06da4e57510",
      "name": "TEXTから抽出",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "operation": "text"
      },
      "typeVersion": 1
    },
    {
      "id": "b2586011-4985-4075-b51c-90301b1a8cf9",
      "name": "要約チェーン",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
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        260
      ],
      "parameters": {
        "options": {},
        "chunkSize": 4000
      },
      "typeVersion": 2
    },
    {
      "id": "1502e72c-e97e-4148-8138-01818ab5b104",
      "name": "付箋ノート",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 7,
        "width": 995.1475972814769,
        "height": 694.0931000693263,
        "content": "## Step 1. Watch Folder and Import New Documents\n[Read more about Local File Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.localfiletrigger)\n\nWith n8n's local file trigger, we're able to trigger the workflow when files are created in our target folder. We still have to import them however as the trigger will only give the file's path. The \"Extract From\" node is used to get at the file's contents."
      },
      "typeVersion": 1
    },
    {
      "id": "7b3afc2c-3fb8-4589-9475-78f5617009cc",
      "name": "付箋ノート1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "width": 824.3300768713589,
        "height": 949.8141899605673,
        "content": "## Step 2. Summarise and Vectorise Document Contents\n[Learn more about using the Qdrant VectorStore](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\n\nCapturing the document into our vector store is intended for a technique we'll use later known as Retrieval Augumented Generation or \"RAG\" for short. For our scenario, this allows our LLM to retrieve context more efficiently which produces better respsonses."
      },
      "typeVersion": 1
    },
    {
      "id": "74aabb02-ca5d-41ad-b84f-92d66428b774",
      "name": "付箋ノート2",
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        "width": 591.09953935829,
        "height": 485.0226378812345,
        "content": "## Step 3. Loop through Templates\n\nWe'll ask the LLM to help us generate 3 types of notes from the imported source document. These notes are intended to breakdown the content for faster study. Our templates for this demo are:\n(1) **Study guide**\n(2) **Briefing document**\n(3) **Timeline**"
      },
      "typeVersion": 1
    },
    {
      "id": "b96f899d-4a44-491c-b164-a42feba129eb",
      "name": "付箋ノート3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2560,
        480
      ],
      "parameters": {
        "color": 7,
        "width": 1500.7886103732135,
        "height": 806.6560661824452,
        "content": "## Step 4. Use AI Agents to Query and Generate Template Documents\n[Read more about using the Question & Answer Retrieval Chain](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainretrievalqa)\n\nn8n allows us to easily use a chain of LLMs as agents which can work together to handle any task!\nHere the agents generate questions to explore the content of the source document and use the answers to generate the template. "
      },
      "typeVersion": 1
    },
    {
      "id": "77fda269-6877-422f-b6e6-4346bde862db",
      "name": "付箋ノート4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2560,
        67.64523011966037
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      "parameters": {
        "color": 7,
        "width": 771.8710855215123,
        "height": 384.22073222791266,
        "content": "## Step 5. Export Generated Templates To Folder\n[Learn more about writing to the local filesystem](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filesreadwrite)\n\nFinally, the AI generated documents can now be exported to disk. This workflow makes it easy to generate any kind of document from various source material and can be used for training and sales."
      },
      "typeVersion": 1
    },
    {
      "id": "08839972-f0f4-4144-bf27-810664cbf828",
      "name": "Qdrantベクトルストア",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        1200,
        560
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "storynotes",
          "cachedResultName": "storynotes"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "NyinAS3Pgfik66w5",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "7e216411-83ee-4b82-9e00-285d4f2d3224",
      "name": "付箋ノート5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -360,
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        "content": "## Try It Out! \n\n### This workflow automates generating notes from a source document.\n* It watches a target folder to pick up new files.\n* When a new file is detected, it saves the contents of the file in a vectorstore.\n* multiple AI agents guided by a templates list, generate the predetermined notes.\n* These notes are then export alongside the original source file for the user.\n\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
      },
      "typeVersion": 1
    },
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      "name": "インタビュー",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
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      ],
      "parameters": {
        "text": "=## document summary\n {{ $('Prep For AI').item.json.summary }}",
        "messages": {
          "messageValues": [
            {
              "message": "=Given the following document summary, what questions would you ask to create a {{ $('For Each Doc Type...').item.json.title }} for the document? Generate 5 questions."
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.4
    },
    {
      "id": "ce3da55d-8c22-40bb-8781-63c2e6bcb824",
      "name": "付箋ノート6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "height": 295.46359440513226,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 💡Add your own templates here!\n"
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      "typeVersion": 1
    }
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