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Doc/update readme patch 1 (#1538)
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crazywoola authored Nov 15, 2023
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10 changes: 8 additions & 2 deletions README.md
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![](./images/describe-en.png)
[![](./images/describe-en.png)](https://dify.ai)
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_CN.md">简体中文</a> |
<a href="./README_JA.md">日本語</a> |
<a href="./README_ES.md">Español</a>
</p>

#### [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)
#### [![](https://dcbadge.vercel.app/api/server/FngNHpbcY7?style=flat&theme=clean&compact=true)](https://discord.gg/FngNHpbcY7) [![](https://img.shields.io/badge/Twitter-%231DA1F2.svg?logo=Twitter&logoColor=white)](https://twitter.com/dify_ai)

**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.**

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**5. Continuous Operations**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data.

## Before You Start

- [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)


## Install the Community Edition
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13 changes: 10 additions & 3 deletions README_CN.md
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![](./images/describe-en.png)
[![](./images/describe-en.png)](https://dify.ai)

<p align="center">
<a href="./README.md">English</a> |
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<a href="./README_ES.md">Español</a>
</p>


#### [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)
#### [![](https://dcbadge.vercel.app/api/server/FngNHpbcY7?style=flat&theme=clean&compact=true)](https://discord.gg/FngNHpbcY7) [![](https://img.shields.io/badge/Twitter-%231DA1F2.svg?logo=Twitter&logoColor=white)](https://twitter.com/dify_ai)

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。

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**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。

## 在开始之前

- [网站](https://dify.ai)
- [文档](https://docs.dify.ai)
- [部署文档](https://docs.dify.ai/getting-started/install-self-hosted)
- [常见问题](https://docs.dify.ai/getting-started/faq)

## 安装社区版

### 系统要求
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