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    "sections": [
      {
        "title": "Ragflow API Client",
        "body": "Universal client for Ragflow — self-hosted RAG (Retrieval-Augmented Generation) platform."
      },
      {
        "title": "Features",
        "body": "Dataset management — Create, list, delete knowledge bases\nDocument upload — Upload files or text content\nChat queries — Run RAG queries against datasets\nChunk management — Trigger parsing, list chunks"
      },
      {
        "title": "Usage",
        "body": "# List datasets\nnode {baseDir}/scripts/ragflow.js datasets\n\n# Create dataset\nnode {baseDir}/scripts/ragflow.js create-dataset --name \"My Knowledge Base\"\n\n# Upload document\nnode {baseDir}/scripts/ragflow.js upload --dataset DATASET_ID --file article.md\n\n# Chat query\nnode {baseDir}/scripts/ragflow.js chat --dataset DATASET_ID --query \"What is stroke?\"\n\n# List documents in dataset\nnode {baseDir}/scripts/ragflow.js documents --dataset DATASET_ID"
      },
      {
        "title": "Configuration",
        "body": "Set environment variables in your .env:\n\nRAGFLOW_URL=https://your-ragflow-instance.com\nRAGFLOW_API_KEY=your-api-key"
      },
      {
        "title": "API",
        "body": "This skill wraps Ragflow's REST API:\n\nGET /api/v1/datasets — List datasets\nPOST /api/v1/datasets — Create dataset\nDELETE /api/v1/datasets/{id} — Delete dataset\nPOST /api/v1/datasets/{id}/documents — Upload document\nPOST /api/v1/datasets/{id}/chunks — Trigger parsing\nPOST /api/v1/datasets/{id}/retrieval — RAG query\n\nFull API docs: https://ragflow.io/docs"
      },
      {
        "title": "Examples",
        "body": "// Programmatic usage\nconst ragflow = require('{baseDir}/lib/api.js');\n\n// Upload and parse\nawait ragflow.uploadDocument(datasetId, './article.md', { filename: 'article.md' });\nawait ragflow.triggerParsing(datasetId, [documentId]);\n\n// Query\nconst answer = await ragflow.chat(datasetId, 'What are the stroke guidelines?');"
      }
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    "body": "Ragflow API Client\n\nUniversal client for Ragflow — self-hosted RAG (Retrieval-Augmented Generation) platform.\n\nFeatures\nDataset management — Create, list, delete knowledge bases\nDocument upload — Upload files or text content\nChat queries — Run RAG queries against datasets\nChunk management — Trigger parsing, list chunks\nUsage\n# List datasets\nnode {baseDir}/scripts/ragflow.js datasets\n\n# Create dataset\nnode {baseDir}/scripts/ragflow.js create-dataset --name \"My Knowledge Base\"\n\n# Upload document\nnode {baseDir}/scripts/ragflow.js upload --dataset DATASET_ID --file article.md\n\n# Chat query\nnode {baseDir}/scripts/ragflow.js chat --dataset DATASET_ID --query \"What is stroke?\"\n\n# List documents in dataset\nnode {baseDir}/scripts/ragflow.js documents --dataset DATASET_ID\n\nConfiguration\n\nSet environment variables in your .env:\n\nRAGFLOW_URL=https://your-ragflow-instance.com\nRAGFLOW_API_KEY=your-api-key\n\nAPI\n\nThis skill wraps Ragflow's REST API:\n\nGET /api/v1/datasets — List datasets\nPOST /api/v1/datasets — Create dataset\nDELETE /api/v1/datasets/{id} — Delete dataset\nPOST /api/v1/datasets/{id}/documents — Upload document\nPOST /api/v1/datasets/{id}/chunks — Trigger parsing\nPOST /api/v1/datasets/{id}/retrieval — RAG query\n\nFull API docs: https://ragflow.io/docs\n\nExamples\n// Programmatic usage\nconst ragflow = require('{baseDir}/lib/api.js');\n\n// Upload and parse\nawait ragflow.uploadDocument(datasetId, './article.md', { filename: 'article.md' });\nawait ragflow.triggerParsing(datasetId, [documentId]);\n\n// Query\nconst answer = await ragflow.chat(datasetId, 'What are the stroke guidelines?');"
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    "owner": "angusthefuzz",
    "version": "1.0.2",
    "license": null,
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