diff --git a/docs/guides/models/deploy_local_llm.mdx b/docs/guides/models/deploy_local_llm.mdx
index 997e526f3..077cd10be 100644
--- a/docs/guides/models/deploy_local_llm.mdx
+++ b/docs/guides/models/deploy_local_llm.mdx
@@ -7,7 +7,7 @@ slug: /deploy_local_llm
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-Deploy and run local models using Ollama, Xinference, or other frameworks.
+Deploy and run local models using Ollama, Xinference, VLLM ，SGLANG or other frameworks.
 
 ---
 
@@ -314,3 +314,41 @@ To enable IPEX-LLM accelerated Ollama in RAGFlow, you must also complete the con
 3. [Update System Model Settings](#6-update-system-model-settings)
 4. [Update Chat Configuration](#7-update-chat-configuration)
 
+### 5. Deploy VLLM 
+
+ubuntu 22.04/24.04
+
+```bash
+  pip install vllm 
+  ```
+### 5.1 RUN VLLM WITH BEST PRACTISE
+
+```bash
+nohup vllm serve /data/Qwen3-8B --served-model-name Qwen3-8B-FP8 --dtype auto --port 1025 --gpu-memory-utilization 0.90 --tool-call-parser hermes --enable-auto-tool-choice  > /var/log/vllm_startup1.log 2>&1 &
+  ```
+you can get log info
+```bash
+ tail -f -n 100 /var/log/vllm_startup1.log
+  ```
+when see the follow ,it means vllm engine is ready for access
+```bash
+Starting vLLM API server 0 on http://0.0.0.0:1025
+Started server process [19177]
+Application startup complete.
+ ```
+### 5.2 INTERGRATEING RAGFLOW WITH VLLM CHAT/EM/RERANK LLM WITH WEBUI
+
+setting->model providers->search->vllm->add ,configure as follow:<br>
+
+![add vllm](https://github.com/user-attachments/assets/6f1d9f1a-3507-465b-87a3-4427254fff86)
+
+select vllm chat model as default llm model as follow:<br>
+![chat](https://github.com/user-attachments/assets/05efbd4b-2c18-4c6b-8d1c-52bae712372d)
+### 5.3 chat with vllm chat model
+create chat->create conversations-chat as follow:<br>
+![chat](https://github.com/user-attachments/assets/dc1885f6-23a9-48f1-8850-d5f59b5e8f67)
+
+
+
+
+