GPT-4とマルチデータベース検索を使用して包括のな文献レビューを構築

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  "meta": {
    "instanceId": "placeholder"
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  "nodes": [
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      "id": "start-node",
      "name": "開始",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        250,
        250
      ],
      "parameters": {
        "content": "## Literature Review Parameters\n\nTopic: {{ $json.topic }}\nYear Range: {{ $json.startYear }}-{{ $json.endYear }}\nMax Papers: {{ $json.maxPapers }}"
      },
      "typeVersion": 1
    },
    {
      "id": "pdfvector-search",
      "name": "PDF Vector - 論文検索",
      "type": "n8n-nodes-pdfvector.pdfVector",
      "notes": "Search across multiple academic databases",
      "position": [
        450,
        300
      ],
      "parameters": {
        "limit": 50,
        "query": "={{ $json.topic }}",
        "fields": [
          "title",
          "abstract",
          "authors",
          "year",
          "doi",
          "pdfUrl",
          "totalCitations"
        ],
        "yearTo": "={{ $json.endYear }}",
        "resource": "academic",
        "yearFrom": "={{ $json.startYear }}",
        "operation": "search",
        "providers": [
          "pubmed",
          "semantic_scholar",
          "arxiv",
          "google_scholar"
        ]
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      "typeVersion": 1
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      "id": "sort-papers",
      "name": "被引用数でソート",
      "type": "n8n-nodes-base.code",
      "position": [
        650,
        300
      ],
      "parameters": {
        "functionCode": "// Sort papers by citations in descending order\nreturn items.sort((a, b) => (b.json.totalCitations || 0) - (a.json.totalCitations || 0));"
      },
      "typeVersion": 1
    },
    {
      "id": "limit-papers",
      "name": "上位論文を選択",
      "type": "n8n-nodes-base.code",
      "position": [
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        300
      ],
      "parameters": {
        "functionCode": "// Limit to top N papers\nconst maxPapers = $node['Start'].json.maxPapers || 10;\nreturn items.slice(0, maxPapers);"
      },
      "typeVersion": 1
    },
    {
      "id": "pdfvector-parse",
      "name": "PDF Vector - 論文解析",
      "type": "n8n-nodes-pdfvector.pdfVector",
      "notes": "Parse each paper's PDF",
      "position": [
        1050,
        300
      ],
      "parameters": {
        "useLlm": "auto",
        "resource": "document",
        "operation": "parse",
        "documentUrl": "={{ $json.pdfUrl }}"
      },
      "typeVersion": 1
    },
    {
      "id": "synthesize",
      "name": "レビューを統合",
      "type": "n8n-nodes-base.openAi",
      "position": [
        1250,
        300
      ],
      "parameters": {
        "model": "gpt-4",
        "messages": {
          "values": [
            {
              "content": "Create a literature review section for this paper:\n\nTitle: {{ $json.title }}\nAuthors: {{ $json.authors }}\nYear: {{ $json.year }}\n\nContent: {{ $json.content }}\n\nGenerate:\n1. Key contribution summary (2-3 sentences)\n2. Methodology overview\n3. Main findings\n4. Relevance to topic: {{ $node['Start'].json.topic }}"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "combine-sections",
      "name": "セクションを結合",
      "type": "n8n-nodes-base.code",
      "position": [
        1450,
        300
      ],
      "parameters": {
        "functionCode": "// Combine all review sections into a single document\nconst reviewSections = items.map(item => item.json.reviewSection || item.json.content || '').filter(section => section);\nreturn [{ json: { reviewSections: reviewSections.join('\\n\\n') } }];"
      },
      "typeVersion": 1
    },
    {
      "id": "export-review",
      "name": "レビューをエクスポート",
      "type": "n8n-nodes-base.writeBinaryFile",
      "position": [
        1650,
        300
      ],
      "parameters": {
        "fileName": "literature_review_{{ $now.format('yyyy-MM-dd') }}.md",
        "fileContent": "# Literature Review: {{ $node['Start'].json.topic }}\n\n{{ $json.reviewSections }}"
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "start-node": {
      "main": [
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          {
            "node": "pdfvector-search",
            "type": "main",
            "index": 0
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    "combine-sections": {
      "main": [
        [
          {
            "node": "export-review",
            "type": "main",
            "index": 0
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    "limit-papers": {
      "main": [
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          {
            "node": "pdfvector-parse",
            "type": "main",
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    },
    "sort-papers": {
      "main": [
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            "node": "limit-papers",
            "type": "main",
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    "synthesize": {
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            "node": "combine-sections",
            "type": "main",
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    "pdfvector-parse": {
      "main": [
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            "node": "synthesize",
            "type": "main",
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    "pdfvector-search": {
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            "node": "sort-papers",
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