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Fast GraphRAG 是一个专为可解释、高精度、代理驱动的检索工作流程设计的流线型且可提示的框架。它旨在无缝集成到您的检索管道中，提供高级检索增强生成（RAG）的能力，而无需构建和维护代理工作流程的复杂性。Fast GraphRAG 利用个性化 PageRank 算法探索图并找到最相关信息来回答您的查询。它支持动态数据、增量更新和智能探索，适用于各种领域和本体需求。
Top Features
- 可解释和可调试的知识图谱
- 快速、低成本和高效率
- 动态数据支持
- 增量更新
- 基于 PageRank 的智能探索
Simple Definition of Usecases
- 在数据科学项目中，用于分析和识别数据中的实体及其关系。
- 在软件开发中，用于自动化文档生成和代码注释。
- 在企业级应用中，用于客户支持和知识库管理。
- 在学术研究中，用于文献综述和知识图谱构建。
- 在教育领域，用于课程内容生成和学生辅导。
Frequently Asked Questions
Fast GraphRAG 如何处理大规模数据？
Fast GraphRAG 设计为在规模上运行，无需大量资源或成本要求。它支持增量更新和动态数据，能够高效处理大规模数据。
Fast GraphRAG 是否支持自定义语言模型？
是的，Fast GraphRAG 支持配置不同的 OpenAI API 兼容语言模型和嵌入器，以满足特定需求。
Fast GraphRAG 如何确保数据的安全性和隐私？
Fast GraphRAG 遵循 MIT 许可证，用户可以完全控制其数据。此外，它支持本地部署，确保数据的安全性和隐私。
Fast GraphRAG 是否支持多语言？
目前，Fast GraphRAG 主要支持英语。未来可能会增加对多语言的支持。
Fast GraphRAG 的性能如何？
Fast GraphRAG 设计为高效且低成本，相比传统方法，它可以节省高达 6 倍的成本，并且随着数据规模和插入次数的增加，性能进一步提升。
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