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@ -108,6 +108,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/ArvinLovegood/go-stock/blob/master/README.md">go-stock</a> </td>
<td>go-stock is a Chinese stock data viewer built by Wails with NativeUI and powered by LLM.</td>
</tr>
<tr>
<td> <img src="https://avatars.githubusercontent.com/u/102771702?s=200&v=4" alt="Wordware" width="64" height="auto" /> </td>
<td> <a href="docs/wordware/README.md">Wordware</a> </td>
<td><a href="https://www.wordware.ai/">Wordware</a> is a toolkit that enables anyone to build, iterate, and deploy their AI stack with just natural language.</td>
</tr>
</table>
### RAG framework
@ -254,4 +259,9 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/BerriAI/litellm"> LiteLLM </a> </td>
<td> Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format. Supports DeepSeek AI with cost tracking as well. </td>
</tr>
<tr>
<td> <img src="https://framerusercontent.com/images/8rF2JOaZ8l9AvM4H6ezliw44aI.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/mem0ai/mem0"> Mem0 </a> </td>
<td> Mem0 enhances AI assistants with an intelligent memory layer, enabling personalized interactions and continuous learning over time. </td>
</tr>
</table>

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<td> <a href="docs/Siyuan/README_cn.md">思源笔记</a> </td>
<td> 思源笔记是一款隐私优先的个人知识管理系统,支持完全离线使用,并提供端到端加密的数据同步功能。</td>
</tr>
<tr>
<tr>
<td> <img src="https://github.com/ArvinLovegood/go-stock/raw/master/build/appicon.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/ArvinLovegood/go-stock/blob/master/README.md">go-stock</a> </td>
<td>go-stock 是一个由 Wails 使用 NativeUI 构建并由 LLM 提供支持的股票数据查看分析器。</td>
</tr>
<tr>
<td> <img src="https://avatars.githubusercontent.com/u/102771702?s=200&v=4" alt="Wordware" width="64" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-php/deepseek-wordware/blob/master/README.md">Wordware </a> </td>
<td><a href="https://www.wordware.ai/">Wordware</a> 这是一个工具包使任何人都可以仅通过自然语言构建、迭代和部署他们的AI堆栈</td>
</tr>
</table>
### RAG 框架

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<img width="1024" src="assets/og-image.png" alt="wordware og">
<!-- TEXT_SECTION:header:END -->
# Use DeepSeek Through Wordware
<a href="https://www.wordware.ai/">Wordware</a> is a toolkit that enables anyone to build, iterate, and deploy their AI stack with just natural language. Wordware is the easiest and fastest way to integrate both DeepSeek V3 and R1 into your LLM applications.
## Tutorial
### Create a new generation with the slash command
![select model](assets/select-deepseek.jpg)
### Select your desired DeepSeek model
![select model](assets/select-deepseek.jpg)
### Provide it with your context and press run. It's that simple.
![use v3](assets/v3.jpg)
### Use R1 for more advanced reasoning.
![use r1](assets/r1.jpg)
### And pair it with control blocks and tools to create more complex flows
![use tools](assets/tools.jpg)
### Refer to the <a href="https://docs.wordware.ai/tour">docs</a> to learn more.
### Try <a href="https://www.wordware.ai/">Wordware</a> out today and build something awesome!

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<img width="1024" src="assets/og-image.png" alt="wordware og">
<!-- TEXT_SECTION:header:END -->
# 通过 Wordware 使用 DeepSeek
<a href="https://www.wordware.ai/">Wordware</a> 是一个工具包,让任何人都能仅使用自然语言来构建、迭代和部署他们的 AI 技术栈。Wordware 是将 DeepSeek V3 和 R1 集成到您的 LLM 应用程序中最简单和最快速的方式。
## 教程
### 使用斜杠命令创建新的生成
![select model](assets/select-deepseek.jpg)
### 选择您想要的 DeepSeek 模型
![select model](assets/select-deepseek.jpg)
### 提供您的上下文并点击运行,就是这么简单
![use v3](assets/v3.jpg)
### 使用 R1 进行更高级的推理
![use r1](assets/r1.jpg)
### 将其与控制块和工具配对,创建更复杂的流程
![use tools](assets/tools.jpg)
### 查看<a href="https://docs.wordware.ai/tour">文档</a>了解更多信息
### 立即试用 <a href="https://www.wordware.ai/">Wordware</a> 并构建令人惊叹的应用!

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