docs: make Chinese README the default

README.md

@@ -1,7 +1,13 @@
+<!-- WEHUB_ZH_README -->
+> [!NOTE]
+> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。  
+> [English](./README.en.md) · [原始项目](https://github.com/microsoft/graphrag) · [上游 README](https://github.com/microsoft/graphrag/blob/HEAD/README.md)  
+> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
+
 # GraphRAG
 
-👉 [Microsoft Research Blog Post](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/)<br/>
-👉 [Read the docs](https://microsoft.github.io/graphrag)<br/>
+👉 [Microsoft Research 博客文章](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/)<br/>
+👉 [阅读文档](https://microsoft.github.io/graphrag)<br/>
 👉 [GraphRAG Arxiv](https://arxiv.org/pdf/2404.16130)
 
 <div align="left">
@@ -19,58 +25,58 @@
   </a>
 </div>
 
-## Overview
+## 概览
 
-The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.
+GraphRAG 项目是一套数据流水线（data pipeline）与转换工具套件，旨在借助大语言模型（LLM）的能力，从非结构化文本中提取有意义、结构化的数据。
 
-To learn more about GraphRAG and how it can be used to enhance your LLM's ability to reason about your private data, please visit the <a href="https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/" target="_blank">Microsoft Research Blog Post.</a>
+要了解更多关于 GraphRAG 的信息，以及它如何用于增强 LLM 对私有数据的推理能力，请访问 <a href="https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/" target="_blank">Microsoft Research 博客文章。</a>
 
-## Quickstart
+## 快速入门
 
-To get started with the GraphRAG system we recommend trying the [command line quickstart](https://microsoft.github.io/graphrag/get_started/).
+要开始使用 GraphRAG 系统，我们建议你尝试[命令行快速入门](https://microsoft.github.io/graphrag/get_started/).
 
-## Repository Guidance
+## 仓库指南
 
-This repository presents a methodology for using knowledge graph memory structures to enhance LLM outputs. Please note that the provided code serves as a demonstration and is not an officially supported Microsoft offering.
+本仓库介绍了一种利用知识图谱（knowledge graph）记忆结构来增强 LLM 输出的方法。请注意，所提供的代码仅作演示用途，并非 Microsoft 官方支持的产品。
 
-⚠️ *Warning: GraphRAG indexing can be an expensive operation, please read all of the documentation to understand the process and costs involved, and start small.*
+⚠️ *警告：GraphRAG 索引可能是一项开销较大的操作，请阅读全部文档以了解相关流程与成本，并从小规模开始。*
 
-## Diving Deeper
+## 深入了解
 
-- To learn about our contribution guidelines, see [CONTRIBUTING.md](./CONTRIBUTING.md)
-- To start developing _GraphRAG_, see [DEVELOPING.md](./DEVELOPING.md)
-- Join the conversation and provide feedback in the [GitHub Discussions tab!](https://github.com/microsoft/graphrag/discussions)
+- 要了解我们的贡献指南，请参阅 [CONTRIBUTING.md](./CONTRIBUTING.md)
+- 要开始开发 _GraphRAG_，请参阅 [DEVELOPING.md](./DEVELOPING.md)
+- 欢迎在 [GitHub Discussions 版块！](https://github.com/microsoft/graphrag/discussions) 加入讨论并提供反馈
 
-## Prompt Tuning
+## 提示词调优（Prompt Tuning）
 
-Using _GraphRAG_ with your data out of the box may not yield the best possible results.
-We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](https://microsoft.github.io/graphrag/prompt_tuning/overview/) in our documentation.
+开箱即用地将 _GraphRAG_ 用于你的数据，可能无法获得最佳效果。
+我们强烈建议你按照文档中的 [提示词调优指南](https://microsoft.github.io/graphrag/prompt_tuning/overview/) 对提示词进行微调。
 
-## Versioning
+## 版本管理
 
-Please see the [breaking changes](./breaking-changes.md) document for notes on our approach to versioning the project.
+请参阅[破坏性变更](./breaking-changes.md)文档，了解我们对项目版本管理的做法说明。
 
-*Always run `graphrag init --root [path] --force` between minor version bumps to ensure you have the latest config format. Run the provided migration notebook between major version bumps if you want to avoid re-indexing prior datasets. Note that this will overwrite your configuration and prompts, so backup if necessary.*
+*在次要版本（minor version）升级之间，请始终运行 `graphrag init --root [path] --force`，以确保使用最新的配置格式。若要在主要版本（major version）升级时避免重新索引先前数据集，请运行提供的迁移 notebook。注意，这将覆盖你的配置与提示词，如有需要请先备份。*
 
-## Responsible AI FAQ
+## 负责任的 AI 常见问题
 
-See [RAI_TRANSPARENCY.md](./RAI_TRANSPARENCY.md)
+请参阅 [RAI_TRANSPARENCY.md](./RAI_TRANSPARENCY.md)
 
-- [What is GraphRAG?](./RAI_TRANSPARENCY.md#what-is-graphrag)
-- [What can GraphRAG do?](./RAI_TRANSPARENCY.md#what-can-graphrag-do)
-- [What are GraphRAG’s intended use(s)?](./RAI_TRANSPARENCY.md#what-are-graphrags-intended-uses)
-- [How was GraphRAG evaluated? What metrics are used to measure performance?](./RAI_TRANSPARENCY.md#how-was-graphrag-evaluated-what-metrics-are-used-to-measure-performance)
-- [What are the limitations of GraphRAG? How can users minimize the impact of GraphRAG’s limitations when using the system?](./RAI_TRANSPARENCY.md#what-are-the-limitations-of-graphrag-how-can-users-minimize-the-impact-of-graphrags-limitations-when-using-the-system)
-- [What operational factors and settings allow for effective and responsible use of GraphRAG?](./RAI_TRANSPARENCY.md#what-operational-factors-and-settings-allow-for-effective-and-responsible-use-of-graphrag)
+- [什么是 GraphRAG？](./RAI_TRANSPARENCY.md#what-is-graphrag)
+- [GraphRAG 能做什么？](./RAI_TRANSPARENCY.md#what-can-graphrag-do)
+- [GraphRAG 的预期用途是什么？](./RAI_TRANSPARENCY.md#what-are-graphrags-intended-uses)
+- [GraphRAG 是如何评估的？使用哪些指标来衡量性能？](./RAI_TRANSPARENCY.md#how-was-graphrag-evaluated-what-metrics-are-used-to-measure-performance)
+- [GraphRAG 有哪些局限性？用户在使用系统时如何尽可能降低这些局限性的影响？](./RAI_TRANSPARENCY.md#what-are-the-limitations-of-graphrag-how-can-users-minimize-the-impact-of-graphrags-limitations-when-using-the-system)
+- [哪些运营因素和设置有助于有效且负责任地使用 GraphRAG？](./RAI_TRANSPARENCY.md#what-operational-factors-and-settings-allow-for-effective-and-responsible-use-of-graphrag)
 
-## Trademarks
+## 商标
 
-This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
-trademarks or logos is subject to and must follow
-[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
-Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
-Any use of third-party trademarks or logos are subject to those third-party's policies.
+本项目可能包含项目、产品或服务的商标或标识。Microsoft
+商标或标识的授权使用须遵守并遵循
+[Microsoft 商标与品牌指南](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
+在本项目的修改版本中使用 Microsoft 商标或标识，不得造成混淆或暗示 Microsoft 的赞助。
+任何第三方商标或标识的使用均须遵守相应第三方的政策。
 
-## Privacy
+## 隐私
 
-[Microsoft Privacy Statement](https://privacy.microsoft.com/en-us/privacystatement)
+[Microsoft 隐私声明](https://privacy.microsoft.com/en-us/privacystatement)