docs(readme): integration mlx lm

README.md

@@ -379,6 +379,7 @@ swanlab login --host http://localhost:8000
 - [Qwen3-SmVL-0.6B多模态模型训练](https://docs.swanlab.cn/examples/qwen3_smolvlm_muxi.html)
 - [LeRobot 具身智能入门](https://docs.swanlab.cn/examples/robot/lerobot-guide.html)
 - [GLM-4.5-Air-LoRA 及 SwanLab 可视化记录](https://github.com/datawhalechina/self-llm/blob/master/models/GLM-4.5-Air/03-GLM-4.5-Air-Lora%20%E5%8F%8A%20Swanlab%20%E5%8F%AF%E8%A7%86%E5%8C%96%E5%BE%AE%E8%B0%83.md)
+- [RAG怎么做？SwanLab文档助手方案开源了](https://docs.swanlab.cn/course/prompt_engineering_course/11-swanlab_rag/1.swanlab-rag.html)
 
 🌟如果你有想收录的教程，欢迎提交PR！
 
@@ -432,6 +433,7 @@ SwanLab会对AI训练过程中所使用的**硬件信息**和**资源使用情
 - [FastAI](https://docs.swanlab.cn/guide_cloud/integration/integration-fastai.html)
 - [LightGBM](https://docs.swanlab.cn/guide_cloud/integration/integration-lightgbm.html)
 - [XGBoost](https://docs.swanlab.cn/guide_cloud/integration/integration-xgboost.html)
+- [MLX-LM](https://docs.swanlab.cn/guide_cloud/integration/integration-mlx-lm.html)
 
 **评估框架**
 - [EvalScope](https://docs.swanlab.cn/guide_cloud/integration/integration-evalscope.html)

README_EN.md

@@ -376,6 +376,7 @@ After logging in, you can record experiments to the self-hosted service.
 - [Training the Qwen3-SmVL-0.6B Multimodal Model](https://docs.swanlab.cn/en/examples/qwen3_smolvlm_muxi.html)
 - [Getting Started with Embodied AI using LeRobot](https://docs.swanlab.cn/en/examples/robot/lerobot-guide.html)
 - [GLM-4.5-Air-LoRA and SwanLab Visualization](https://github.com/datawhalechina/self-llm/blob/master/models/GLM-4.5-Air/03-GLM-4.5-Air-Lora%20%E5%8F%8A%20Swanlab%20%E5%8F%AF%E8%A7%86%E5%8C%96%E5%BE%AE%E8%B0%83.md)
+- [How to do RAG? SwanLab Document Assistant Solution Released](https://docs.swanlab.cn/course/prompt_engineering_course/11-swanlab_rag/1.swanlab-rag.html)
 
 <br>
 
@@ -404,6 +405,7 @@ Below is a list of frameworks we have integrated. Feel free to submit an [Issue]
 - [FastAI](https://docs.swanlab.cn/en/guide_cloud/integration/integration-fastai.html)
 - [LightGBM](https://docs.swanlab.cn/en/guide_cloud/integration/integration-lightgbm.html)
 - [XGBoost](https://docs.swanlab.cn/en/guide_cloud/integration/integration-xgboost.html)
+- [MLX-LM](https://docs.swanlab.cn/en/guide_cloud/integration/integration-mlx-lm.html)
 
 **Evaluation Frameworks**
 - [EvalScope](https://docs.swanlab.cn/en/guide_cloud/integration/integration-evalscope.html)

README_JP.md

@@ -342,6 +342,7 @@ swanlab login --host http://localhost:8000
 - [FastAI](https://docs.swanlab.cn/en/guide_cloud/integration/integration-fastai.html)
 - [LightGBM](https://docs.swanlab.cn/en/guide_cloud/integration/integration-lightgbm.html)
 - [XGBoost](https://docs.swanlab.cn/en/guide_cloud/integration/integration-xgboost.html)
+- [MLX-LM](https://docs.swanlab.cn/en/guide_cloud/integration/integration-mlx-lm.html)
 
 **コンピュータビジョン**
 - [Ultralytics](https://docs.swanlab.cn/en/guide_cloud/integration/integration-ultralytics.html)

README_RU.md

@@ -344,6 +344,7 @@ swanlab login --host http://localhost:8000
 - [FastAI](https://docs.swanlab.cn/en/guide_cloud/integration/integration-fastai.html)
 - [LightGBM](https://docs.swanlab.cn/en/guide_cloud/integration/integration-lightgbm.html)
 - [XGBoost](https://docs.swanlab.cn/en/guide_cloud/integration/integration-xgboost.html)
+- [MLX-LM](https://docs.swanlab.cn/en/guide_cloud/integration/integration-mlx-lm.html)
 
 
 **Компьютерное зрение**