docs: make Chinese README the default

README.md

@@ -1,4 +1,10 @@
-# LangChain4j: idiomatic, open-source Java library for building LLM-powered applications on the JVM
+<!-- 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/langchain4j/langchain4j) · [上游 README](https://github.com/langchain4j/langchain4j/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。
+
+# LangChain4j：用于在 JVM 上构建 LLM 驱动应用的惯用、开源 Java 库
 
 [![Build Status](https://img.shields.io/github/actions/workflow/status/langchain4j/langchain4j/main.yaml?branch=main&style=for-the-badge&label=CI%20BUILD&logo=github)](https://github.com/langchain4j/langchain4j/actions/workflows/main.yaml)
 [![Nightly Build](https://img.shields.io/github/actions/workflow/status/langchain4j/langchain4j/nightly_jdk17.yaml?branch=main&style=for-the-badge&label=NIGHTLY%20BUILD&logo=github)](https://github.com/langchain4j/langchain4j/actions/workflows/nightly_jdk17.yaml)
@@ -12,74 +18,74 @@
 
 ## Introduction
 
-Welcome!
+欢迎！
 
-The goal of LangChain4j is to simplify integrating LLMs into Java applications.
+LangChain4j 的目标是让 LLM 集成到 Java 应用中变得更简单。
 
-Here's how:
-1. **Unified APIs:**
-   LLM providers (like OpenAI or Google Vertex AI) and embedding (vector) stores (such as Pinecone or Milvus)
-   use proprietary APIs. LangChain4j offers a unified API to avoid the need for learning and implementing specific APIs for each of them.
-   To experiment with different LLMs or embedding stores, you can easily switch between them without the need to rewrite your code.
-   LangChain4j currently supports [20+ popular LLM providers](https://docs.langchain4j.dev/integrations/language-models/)
-   and [30+ embedding stores](https://docs.langchain4j.dev/integrations/embedding-stores/).
-2. **Comprehensive Toolbox:**
-   Since early 2023, the community has been building numerous LLM-powered applications,
-   identifying common abstractions, patterns, and techniques. LangChain4j has refined these into practical code.
-   Our toolbox includes tools ranging from low-level prompt templating, chat memory management, and function calling
-   to high-level patterns like Agents and RAG.
-   For each abstraction, we provide an interface along with multiple ready-to-use implementations based on common techniques.
-   Whether you're building a chatbot or developing a RAG with a complete pipeline from data ingestion to retrieval,
-   LangChain4j offers a wide variety of options.
-3. **Numerous Examples:**
-   These [examples](https://github.com/langchain4j/langchain4j-examples) showcase how to begin creating various LLM-powered applications,
-   providing inspiration and enabling you to start building quickly.
+实现方式如下：
+1. **统一 API：**
+   LLM 提供商（如 OpenAI 或 Google Vertex AI）和嵌入（向量）存储（如 Pinecone 或 Milvus）
+   各自使用专有 API。LangChain4j 提供统一 API，避免为每个服务单独学习和实现其 API。
+   若要尝试不同的 LLM 或嵌入存储，你可以轻松切换，而无需重写代码。
+   LangChain4j 目前支持 [20+ 主流 LLM 提供商](https://docs.langchain4j.dev/integrations/language-models/)
+   以及 [30+ 嵌入存储](https://docs.langchain4j.dev/integrations/embedding-stores/).
+2. **全面的工具箱：**
+   自 2023 年初以来，社区已构建了大量 LLM 驱动应用，
+   并总结出常见的抽象、模式与技术。LangChain4j 将这些沉淀为可落地的代码。
+   我们的工具箱涵盖从底层提示词模板、对话记忆管理、函数调用（function calling）
+   到 Agents、RAG 等高层模式。
+   针对每种抽象，我们都提供接口，以及基于常见技术的多种开箱即用实现。
+   无论你是在构建聊天机器人，还是开发从数据摄取到检索的完整 RAG 流水线，
+   LangChain4j 都能提供丰富选择。
+3. **丰富的示例：**
+   这些[示例](https://github.com/langchain4j/langchain4j-examples) 展示了如何开始创建各类 LLM 驱动应用，
+   既能提供灵感，也能让你快速上手。
 
-LangChain4j began development in early 2023 amid the ChatGPT hype.
-We noticed a lack of Java counterparts to the numerous Python and JavaScript LLM libraries and frameworks,
-and we had to fix that!
+LangChain4j 于 2023 年初 ChatGPT 热潮中开始开发。
+我们注意到，相比众多的 Python 与 JavaScript LLM 库和框架，Java 生态缺少对应方案，
+而我们需要补上这一空白！
 
-**Despite the name, LangChain4j is not a Java port of LangChain (Python) — it is built for Java, not ported to it.**
-It is an idiomatic Java library designed from the ground up around Java conventions:
-type safety, POJOs, annotations, interfaces, dependency injection, fluent APIs, and first-class integrations with Quarkus, Spring Boot, Helidon, and Micronaut.
-Its API, internals, and release cycle are independent of the Python LangChain project.
+**尽管名字相似，LangChain4j 并非 LangChain（Python）的 Java 移植版——它是为 Java 而生，而非从其他语言移植而来。**
+它是一款惯用的 Java 库，从设计之初就围绕 Java 惯例构建：
+类型安全、POJO、注解、接口、依赖注入、流式 API（fluent APIs），以及与 Quarkus、Spring Boot、Helidon、Micronaut 的一等集成。
+其 API、内部实现与发布周期均独立于 Python 版 LangChain 项目。
 
-We actively monitor community developments, aiming to quickly incorporate new techniques and integrations,
-ensuring you stay up-to-date.
-The library is under active development. While some features are still being worked on,
-the core functionality is in place, allowing you to start building LLM-powered apps now!
+我们持续关注社区动态，力求快速纳入新技术与集成，
+确保你始终跟上最新进展。
+该库仍在积极开发中。虽然部分功能仍在完善，
+但核心能力已就绪，你现在就可以开始构建 LLM 驱动应用！
 
 
 ## Documentation
-Documentation can be found [here](https://docs.langchain4j.dev).
+文档见[此处](https://docs.langchain4j.dev).
 
-The documentation chatbot (experimental) can be found [here](https://chat.langchain4j.dev/).
+文档聊天机器人（实验性）见[此处](https://chat.langchain4j.dev/).
 
 
 ## Getting Started
-Getting started guide can be found [here](https://docs.langchain4j.dev/get-started).
+入门指南见[此处](https://docs.langchain4j.dev/get-started).
 
 
 ## Code Examples
-Please see examples of how LangChain4j can be used in [langchain4j-examples](https://github.com/langchain4j/langchain4j-examples) repo:
-- [Examples in plain Java](https://github.com/langchain4j/langchain4j-examples/tree/main/other-examples/src/main/java)
-- [Examples with Quarkus](https://github.com/quarkiverse/quarkus-langchain4j/tree/main/samples) (uses [quarkus-langchain4j](https://github.com/quarkiverse/quarkus-langchain4j) dependency)
-- [Example with Spring Boot](https://github.com/langchain4j/langchain4j-examples/tree/main/spring-boot-example/src/main/java/dev/langchain4j/example)
-- [Examples with Helidon](https://github.com/helidon-io/helidon-examples/tree/helidon-4.x/examples/integrations/langchain4j) (uses [io.helidon.integrations.langchain4j](https://mvnrepository.com/artifact/io.helidon.integrations.langchain4j) dependency)
-- [Examples with Micronaut](https://github.com/micronaut-projects/micronaut-langchain4j/tree/0.3.x/doc-examples/example-openai-java) (uses [micronaut-langchain4j](https://micronaut-projects.github.io/micronaut-langchain4j/latest/guide/) dependency)
+LangChain4j 用法示例请参见 [langchain4j-examples](https://github.com/langchain4j/langchain4j-examples) 仓库：
+- [纯 Java 示例](https://github.com/langchain4j/langchain4j-examples/tree/main/other-examples/src/main/java)
+- [Quarkus 示例](https://github.com/quarkiverse/quarkus-langchain4j/tree/main/samples)（使用 [quarkus-langchain4j](https://github.com/quarkiverse/quarkus-langchain4j) 依赖）
+- [Spring Boot 示例](https://github.com/langchain4j/langchain4j-examples/tree/main/spring-boot-example/src/main/java/dev/langchain4j/example)
+- [Helidon 示例](https://github.com/helidon-io/helidon-examples/tree/helidon-4.x/examples/integrations/langchain4j)（使用 [io.helidon.integrations.langchain4j](https://mvnrepository.com/artifact/io.helidon.integrations.langchain4j) 依赖）
+- [Micronaut 示例](https://github.com/micronaut-projects/micronaut-langchain4j/tree/0.3.x/doc-examples/example-openai-java)（使用 [micronaut-langchain4j](https://micronaut-projects.github.io/micronaut-langchain4j/latest/guide/) 依赖）
 
 ## Useful Materials
-Useful materials can be found [here](https://docs.langchain4j.dev/useful-materials).
+实用资料见[此处](https://docs.langchain4j.dev/useful-materials).
 
 
 ## Get Help
-Please use [Discord](https://discord.gg/JzTFvyjG6R) or [GitHub discussions](https://github.com/langchain4j/langchain4j/discussions)
-to get help.
+如需帮助，请使用 [Discord](https://discord.gg/JzTFvyjG6R) 或 [GitHub discussions](https://github.com/langchain4j/langchain4j/discussions)
+。
 
 
 ## Request Features
-Please let us know what features you need by [opening an issue](https://github.com/langchain4j/langchain4j/issues/new/choose).
+请通过[提交 issue](https://github.com/langchain4j/langchain4j/issues/new/choose). 告知我们你需要的功能。
 
 
 ## Contribute
-Contribution guidelines can be found [here](https://github.com/langchain4j/langchain4j/blob/main/CONTRIBUTING.md).
+贡献指南见[此处](https://github.com/langchain4j/langchain4j/blob/main/CONTRIBUTING.md).