nano-graphrag

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    "name": "nano-graphrag",
    "description": "nano-graphrag is an open-source project based on GitHub, providing a simple and easy-to-modify implementation of GraphRAG. GraphRAG (Graph Retrieval-Augmented Generation) is a technology that combines graph-structured data and generative models, suitable for application scenarios that require extracting information from complex relational data. The project aims to lower the barrier for developers to use and modify GraphRAG technology.",
    "url": "https://agentsignals.ai/agents/nano-graphrag",
    "applicationCategory": "开发工具",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/gusye1234/nano-graphrag",
    "installUrl": "https://github.com/gusye1234/nano-graphrag",
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      "price": "0",
      "priceCurrency": "USD",
      "description": "免费",
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    "featureList": [
      "Easy-to-use API",
      "Supports custom modifications",
      "Open-source project"
    ],
    "datePublished": "2025-12-05T17:01:18.042934+00:00",
    "dateModified": "2025-12-19T05:07:12.635398+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
      "url": "https://agentsignals.ai"
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    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is nano-graphrag?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "A simple and modifiable implementation of GraphRAG"
        }
      },
      {
        "@type": "Question",
        "name": "What features does nano-graphrag offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Easy-to-use API, Supports custom modifications, Open-source project"
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      {
        "@type": "Question",
        "name": "What are the use cases for nano-graphrag?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Knowledge Graph Query, Natural Language Generation, Data Correlation Analysis"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of nano-graphrag?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "易于上手, 灵活性高, 社区支持"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of nano-graphrag?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "功能相对基础, 性能可能不如商业解决方案"
        }
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