langextract

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    "name": "langextract",
    "description": "langextract is a Python-based library designed to leverage large language models (LLMs) to extract structured information from unstructured text. It provides an efficient and accurate data extraction solution through precise source location and interactive visualization, suitable for developers and researchers who need to obtain key information from large amounts of text.",
    "url": "https://agentsignals.ai/agents/langextract",
    "applicationCategory": "开发工具",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/google/langextract",
    "installUrl": "https://github.com/google/langextract",
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      "priceCurrency": "USD",
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    "featureList": [
      "Efficient data extraction using large language models",
      "Accurate source localization ensures information accuracy",
      "Provides interactive visualization tools to enhance data understanding"
    ],
    "datePublished": "2025-12-05T16:13:22.644241+00:00",
    "dateModified": "2025-12-19T05:06:00.747202+00:00",
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    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is langextract?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "A Python library for extracting structured information from unstructured text using LLM"
        }
      },
      {
        "@type": "Question",
        "name": "What features does langextract offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Efficient data extraction using large language models, Accurate source localization ensures information accuracy, Provides interactive visualization tools to enhance data understanding"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for langextract?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Automatically extract key data from documents, Literature analysis in academic research, Intelligent management of internal corporate documents"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of langextract?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "高效利用LLM技术, 易于集成到现有项目中, 支持交互式数据探索"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of langextract?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "可能需要较高的计算资源, 对非英文文本的支持可能有限"
        }
      }
    ]
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