From 8306b4373b5849aad549461745922d95fa5e120b Mon Sep 17 00:00:00 2001 From: crazywoola <100913391+crazywoola@users.noreply.github.com> Date: Wed, 15 Nov 2023 19:10:17 +0800 Subject: [PATCH] doc: update readme (#1536) --- README.md | 6 ++++-- README_CN.md | 48 ++++++++++++++++++++--------------------- images/demo.png | Bin 0 -> 808888 bytes images/describe-cn.jpg | Bin 1230401 -> 0 bytes images/describe-en.png | Bin 1277834 -> 1328410 bytes images/models.png | Bin 0 -> 81757 bytes 6 files changed, 27 insertions(+), 27 deletions(-) create mode 100644 images/demo.png delete mode 100644 images/describe-cn.jpg create mode 100644 images/models.png diff --git a/README.md b/README.md index 6a1d515e2e..765deab345 100644 --- a/README.md +++ b/README.md @@ -8,9 +8,9 @@ #### [Website](https://dify.ai) • [Docs](https://docs.dify.ai) • [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted) • [FAQ](https://docs.dify.ai/getting-started/faq) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7) -**Dify** is an LLM application development platform that has already seen over 100,000 applications built on Dify.AI. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine. With Dify, **you can self-deploy capabilities similar to Assistants API and GPTs based on any LLMs.** +**Dify** is an LLM application development platform that has already seen over **100,000** applications built on Dify.AI. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine. With Dify, **you can self-deploy capabilities similar to Assistants API and GPTs based on any LLMs.** -https://github.com/langgenius/dify/assets/100913391/f6e658d5-31b3-4c16-a0af-9e191da4d0f6 +![](./images/demo.png) ## Use Cloud Services @@ -31,6 +31,8 @@ Dify features model neutrality and is a complete, engineered tech stack compared ## Features +![](./images/models.png) + **1. LLM Support**: Integration with OpenAI's GPT family of models, or the open-source Llama2 family models. In fact, Dify supports mainstream commercial models and open-source models (locally deployed or based on MaaS). **2. Prompt IDE**: Visual orchestration of applications and services based on LLMs with your team. diff --git a/README_CN.md b/README_CN.md index 63dd7fdaaf..7268c984c8 100644 --- a/README_CN.md +++ b/README_CN.md @@ -1,4 +1,5 @@ -![](./images/describe-cn.jpg) +![](./images/describe-en.png) +

English | 简体中文 | @@ -9,40 +10,37 @@ #### [官方网站](https://dify.ai) • [使用文档](https://docs.dify.ai/v/zh-hans) · [部署文档](https://docs.dify.ai/v/zh-hans/getting-started/install-self-hosted) · [FAQ](https://docs.dify.ai/v/zh-hans/getting-started/faq) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7) -**Dify** 是一个易用的 LLMOps 平台,基于不同的大型语言模型能力,让更多人可以简易地创建可持续运营的原生 AI 应用。Dify 提供多种类型应用的可视化编排,应用可开箱即用,也能以“后端即服务”的 API 提供服务。 +Dify 是一个 LLM 应用开发平台,已经有超过 10 万个应用基于 Dify.AI 构建。它融合了 Backend as Service 和 LLMOps 的理念,涵盖了构建生成式 AI 原生应用所需的核心技术栈,包括一个内置 RAG 引擎。使用 Dify,你可以基于任何模型自部署类似 Assistants API 和 GPTs 的能力。 -通过 Dify 创建的应用包含了: - -- 开箱即用的的 Web 站点,支持表单模式和聊天对话模式 -- 一套 API 即可包含插件、上下文增强等能力,替你省下了后端代码的编写工作 -- 可视化的对应用进行数据分析,查阅日志或进行标注 - -https://github.com/langgenius/dify/assets/100913391/f6e658d5-31b3-4c16-a0af-9e191da4d0f6 +![](./images/demo.png) ## 为什么选择Dify -Dify具有模型中立性,并且是一个完整的、经过工程化的技术栈,与像LangChain这样的硬编码开发库相比。不同于OpenAI的助手API,Dify允许完全本地部署服务。 +Dify 具有模型中立性,相较 LangChain 等硬编码开发库 Dify 是一个完整的、工程化的技术栈,而相较于 OpenAI 的 Assistants API 你可以完全将服务部署在本地。 + +| 功能 | Dify.AI | Assistants API | LangChain | +| --- | --- | --- | --- | +| 编程方式 | 面向 API | 面向 API | 面向 Python 代码 | +| 生态策略 | 开源 | 封闭且商用 | 开源 | +| RAG 引擎 | 支持 | 支持 | 不支持 | +| Prompt IDE | 包含 | 包含 | 没有 | +| 支持的 LLMs | 丰富 | 仅 GPT | 丰富 | +| 本地部署 | 支持 | 不支持 | 不适用 | -| Feature | Dify.AI | Assistants API | LangChain | -|---------|---------|----------------|-----------| -| **Programming Approach** | API-oriented | API-oriented | Python Code-oriented | -| **Ecosystem Strategy** | Open Source | Closed and Commercial | Open Source | -| **RAG Engine** | Supported | Supported | Not Supported | -| **Prompt IDE** | Included | Included | None | -| **Supported LLMs** | Rich Variety | Only GPT | Rich Variety | -| **Local Deployment** | Supported | Not Supported | Not Applicable | ## 特点 -**1. LLM支持**:与OpenAI的GPT系列模型或开源的Llama2系列模型集成。事实上,Dify支持主流的商业模型和开源模型(本地部署或基于MaaS)。 +![](./images/models.png) -**2. Prompt IDE**:基于LLM的应用和服务的可视化编排,与您的团队一起。 +**1. LLM支持**:与 OpenAI 的 GPT 系列模型集成,或者与开源的 Llama2 系列模型集成。事实上,Dify支持主流的商业模型和开源模型(本地部署或基于 MaaS)。 -**3. RAG引擎**:包括基于全文索引或向量数据库嵌入的各种RAG能力,允许直接上传PDF、TXT和其他文本格式。 +**2. Prompt IDE**:和团队一起在 Dify 协作,通过可视化的 Prompt 和应用编排工具开发 AI 应用。 支持无缝切换多种大型语言模型。 -**4. 代理**:基于函数调用的代理框架,允许用户配置所见即所得。Dify包括基本的插件功能,如Google搜索。 +**3. RAG引擎**:包括各种基于全文索引或向量数据库嵌入的 RAG 能力,允许直接上传 PDF、TXT 等各种文本格式。 -**5. 持续运营**:监控和分析应用日志和性能,使用生产数据不断改进提示、数据集或模型。 +**4. Agent**:基于函数调用的 Agent框架,允许用户自定义配置,所见即所得。Dify 提供了基本的插件能力,如谷歌搜索。 + +**5. 持续运营**:监控和分析应用日志和性能,使用生产数据持续改进 Prompt、数据集或模型。 ## 安装社区版 ### 系统要求 @@ -81,12 +79,12 @@ docker compose up -d 我们欢迎您为 Dify 做出贡献,以帮助改善 Dify。包括:提交代码、问题、新想法,或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时,我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。 -- [GitHub 问题](https://github.com/langgenius/dify/issues)。👉:使用 Dify.AI 时遇到的错误和问题,请参阅[贡献指南](CONTRIBUTING.md)。 +- [GitHub Issues](https://github.com/langgenius/dify/issues)。👉:使用 Dify.AI 时遇到的错误和问题,请参阅[贡献指南](CONTRIBUTING.md)。 - [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉:关于使用 Dify.AI 的问题。 - [Discord](https://discord.gg/FngNHpbcY7)。👉:分享您的应用程序并与社区交流。 - [Twitter](https://twitter.com/dify_ai)。👉:分享您的应用程序并与社区交流。 - [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉:有关商业用途许可 Dify.AI 的商业咨询。 -## 安全 +## 安全问题 为了保护您的隐私,请避免在 GitHub 上发布安全问题。发送问题至 security@dify.ai,我们将为您做更细致的解答。 diff --git a/images/demo.png b/images/demo.png new file mode 100644 index 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