diff --git a/README.md b/README.md index 03bb75f..60427a1 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,15 @@ -**Proudly made by Chinese，May we, like the creators of Deepseek and Black Myth: Wukong, bring more wonder and greatness to the world.** - -> 源自中国匠心，希望我们能像 [Deepseek]、[黑神话：悟空] 团队一样，给世界带来更多美好。 + +> [!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/dataelement/bisheng) · [上游 README](https://github.com/dataelement/bisheng/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。 Bisheng banner

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@@ -28,76 +31,94 @@ -BISHENG is an open LLM application devops platform, focusing on enterprise scenarios. It has been used by a large number of industry leading organizations and Fortune 500 companies. +BISHENG毕昇 是一款 开源 LLM应用开发平台，主攻企业场景， 已有大量行业头部组织及世界500强企业在使用。 -"Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate. +“毕昇”是活字印刷术的发明人，活字印刷术为人类知识的传递起到了巨大的推动作用。我们希望“BISHENG毕昇”同样能够为智能应用的广泛落地提供有力支撑。欢迎大家一道参与。 -## Features -1. **Lingsight, a general-purpose agent with expert-level taste**: Through the [AGL](https://github.com/dataelement/AgentGuidanceLanguage)(Agent Guidance Language) framework, we embed domain experts’ preferences, experience, and business logic into the AI, enabling the agent to exhibit “expert-level understanding” when handling tasks. -

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+## 特点 +1. **具备专家级品味的通用Agent灵思**：通过 [AGL](https://github.com/dataelement/AgentGuidanceLanguage)（Agent Guidance Language）框架，将领域专家的偏好、经验与业务逻辑融入 AI 之中，让 Agent 在处理任务时能具备 「专家级理解」。 +

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-2. **Unique [BISHENG Workflow](https://dataelem.feishu.cn/wiki/R7HZwH5ZGiJUDrkHZXicA9pInif)** - - 🧩 **Independent and comprehensive application orchestration framework**: Enables the execution of various tasks within a single framework (while similar products rely on bot invocation or separate chatflow and workflow modules for different tasks). - - 🔄 **Human in the loop**: Allows users to intervene and provide feedback during the execution of workflows (including multi-turn conversations), whereas similar products can only execute workflows from start to finish without intervention. - - 💥 **Powerful**: Supports loops, parallelism, batch processing, conditional logic, and free combination of all logic components. It also handles complex scenarios such as multi-type input/output, report generation, content review, and more. - - 🖐️ **User-friendly and intuitive**: Operations like loops, parallelism, and batch processing, which require specialized components in similar products, can be easily visualized in BISHENG as a "flowchart" (drawing a loop forms a loop, aligning elements creates parallelism, and selecting multiple items enables batch processing). +2. **独具特色的[BISHENG workflow](https://dataelem.feishu.cn/wiki/R7HZwH5ZGiJUDrkHZXicA9pInif)** + + - 🧩 **独立、完备的应用编排框架**：可在一个框架下实现各类任务（同类产品需要被 bot 调用，或划分成 chatflow 与 workflow 来完成不同类型的任务）。 + - 🔄 **Human in the loop**：支持用户在Workflow执行的中间过程进行干预和反馈（包括多轮对话），而同类产品只能从头执行到尾。 + - 💥 **强大**：支持成环、并行、跑批、判断逻辑以及所有逻辑的任意自由组合；支持多类型输入输出、撰写报告、内容审核等复杂场景。 + - 🖐️ **易用、符合直觉**：如成环、并行、批量运行操作，在同类产品中用户需借助专门组件实现，在BISHENG中只需完全按照直觉连接成“流程图”即可（画圈成环、并列即并行、多选即批量）。

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-3. Designed for Enterprise Applications: Document review, fixed-layout report generation, multi-agent collaboration, policy update comparison, support ticket assistance, customer service assistance, meeting minutes generation, resume screening, call record analysis, unstructured data governance, knowledge mining, data analysis, and more. -The platform supports the construction of highly complex enterprise application scenarios and offers deep optimization with hundreds of components and thousands of parameters. +3. **专为企业应用而生**：文档审核、固定版式报告生成、多智能体协作、规范制度更新差异比对、工单问答、客服辅助、会议纪要生成、简历筛选、通话记录分析、非结构化数据治理、知识挖掘、数据分析...平台支持高复杂度企业应用场景构建，支持数百个组件与数千个参数的深度调优。

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-4. Enterprise-grade features are the fundamental guarantee for application implementation: security review, RBAC, user group management, traffic control by group, SSO/LDAP, vulnerability scanning and patching, high availability deployment solutions, monitoring, statistics, and more. +4. **企业级特性是应用落地的基本保障**：安全审查、基于角色的细颗粒度权限管理、用户组管理、分组流量控制、SSO/LDAP、漏洞扫描修复、高可用部署方案、监控、统计...

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-5. High-Precision Document Parsing: Our high-precision document parsing model is trained on a vast amount of high-quality data accumulated over past 5 years. It includes high-precision printed text, handwritten text, and rare character recognition models, table recognition models, layout analysis models, and seal models., table recognition models, layout analysis models, and seal models. You can deploy it privately for free. +5. **高精度文档解析**：5年海量数据沉淀，高精度文档解析模型支持免费私有化部署使用，包括高精度印刷体、手写体与生僻字识别模型、表格识别模型、版式分析模型、印章模型...

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-6. A community for sharing best practices across various enterprise scenarios: An open repository of application cases and best practices. -## Quick start +6. **大量企业场景落地最佳实践分享社区**：开放的应用案例与最佳实践库。 +

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-Please ensure the following conditions are met before installing BISHENG: -- CPU >= 4 Virtual Cores -- RAM >= 16 GB + +## 快速安装 + +安装BISHENG前请先确保满足以下条件： +- CPU >= 8 Core +- RAM >= 32 GB - Docker 19.03.9+ - Docker Compose 1.25.1+ -> Recommended hardware condition: 18 virtual cores, 48G. In addition to installing BISHENG, we will also install the following third-party components by default: ES, Milvus, and Onlyoffice. +> 除了BISHENG前后端，我们默认还会安装第三方组件ES、Milvus、Onlyoffice -Download BISHENG +下载BISHENG代码 ```bash +# 如果系统中有git命令，可以直接下载毕昇代码 git clone https://github.com/dataelement/bisheng.git -# Enter the installation directory +# 进入安装目录 cd bisheng/docker -# If the system does not have the git command, you can download the BISHENG code as a zip file. +# 如果系统没有没有git命令，可以下载毕昇代码zip包 wget https://github.com/dataelement/bisheng/archive/refs/heads/main.zip -# Unzip and enter the installation directory +# 解压并进入安装目录 unzip main.zip && cd bisheng-main/docker ``` -Start BISHENG +启动BISHENG ```bash +# 进入bisheng/docker或bisheng-main/docker目录，执行 docker compose -f docker-compose.yml -p bisheng up -d ``` -After the startup is complete, access http://IP:3001 in the browser. The login page will appear, proceed with user registration. +启动后，在浏览器中访问 http://IP:3001 ，出现登录页，进行用户注册。默认第一个注册的用户会成为系统admin。 -By default, the first registered user will become the system admin. +其他安装部署问题参考：[私有化部署](https://dataelem.feishu.cn/wiki/BSCcwKd4Yiot3IkOEC8cxGW7nPc) -For more installation and deployment issues, refer to:：[Self-hosting](https://dataelem.feishu.cn/wiki/BSCcwKd4Yiot3IkOEC8cxGW7nPc) -## Acknowledgement -This repo benefits from [langchain](https://github.com/langchain-ai/langchain) [langflow](https://github.com/logspace-ai/langflow) [unstructured](https://github.com/Unstructured-IO/unstructured) and [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) . Thanks for their wonderful works. +## 资源 +- [📄应用案例/场景库](https://dataelem.feishu.cn/wiki/ZfkmwLPfeiAhQSkK2WvcX87unxc) +- [📄经验技巧](https://dataelem.feishu.cn/wiki/OWFRwknFaiIMajke4m5cFeLrnie) +- [📄功能使用说明](https://dataelem.feishu.cn/wiki/WxH6wubbAiBkRIkSEyecmpDMnjF) +- [📄BISHENG Blog](https://dataelem.feishu.cn/wiki/BiNowcaYWilewdksXQ5cZl3tnzy) -Thank you to our contributors： + +## 感谢 + +感谢我们的贡献者： +
+Bisheng 采用了以下依赖库: -## Community & contact -Welcome to join our discussion group +- 感谢开源LLM应用开发库 [langchain](https://github.com/langchain-ai/langchain)。 +- 感谢开源langchain可视化工具 [langflow](https://github.com/logspace-ai/langflow)。 +- 感谢开源非结构化数据解析引擎 [unstructured](https://github.com/Unstructured-IO/unstructured)。 +- 感谢开源LLM微调框架 [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) 。 + + +## 社区与支持 +欢迎加入我们的交流群 Wechat QR Code