diff --git a/README.md b/README.md
index 4bc8a24ff..93bc7ae81 100644
--- a/README.md
+++ b/README.md
@@ -37,9 +37,8 @@ docker run -d --name=maxkb --restart=always -p 8080:8080 -v C:/maxkb:/var/lib/po
 # 密码: MaxKB@123..
 ```
 
-- 你也可以通过 [1Panel 应用商店](https://apps.fit2cloud.com/1panel) 快速部署 MaxKB + Ollama + Llama 3 / Qwen 2，快速上线基于本地大模型的 AI 知识库问答系统；
+- 你也可以通过 [1Panel 应用商店](https://apps.fit2cloud.com/1panel) 快速部署 MaxKB；
 - 如果是内网环境，推荐使用 [离线安装包](https://community.fit2cloud.com/#/products/maxkb/downloads) 进行安装部署；
-- 你也可以在线体验：[DataEase 小助手](https://dataease.io/docs/v2/)，它是基于 MaxKB 搭建的智能 AI 问答系统，已经嵌入到 DataEase 产品及在线文档中；
 - MaxKB 产品版本分为社区版和专业版，详情请参见：[MaxKB 产品版本对比](https://maxkb.cn/pricing.html)。
 
 如你有更多问题，可以查看使用手册，或者通过论坛与我们交流。
@@ -50,6 +49,15 @@ docker run -d --name=maxkb --restart=always -p 8080:8080 -v C:/maxkb:/var/lib/po
 
 <image height="150px" width="150px" src="https://github.com/1Panel-dev/MaxKB/assets/52996290/a083d214-02be-4178-a1db-4f428124153a"/>
 
+## 案例展示
+
+MaxKB 自发布以来，日均安装下载超过 1000 次，被广泛应用于智能客服、企业内部知识库、学术研究与教育等场景。
+
+- [华莱士智能客服](https://ai.cnhls.com/ui/chat/1fc0f6a9b5a6fb27)
+- [JumpServer 小助手](https://maxkb.fit2cloud.com/ui/chat/b4e27a6e72d349a3)
+- [信用深圳](https://www.szcredit.org.cn/#/index)
+- [重庆交通大学教务在线](http://jwc.anyquestion.cn/ui/chat/b75496390f7d935d)
+
 ## UI 展示
 
 <table style="border-collapse: collapse; border: 1px solid black;">
diff --git a/apps/setting/models_provider/impl/xf_model_provider/model/llm.py b/apps/setting/models_provider/impl/xf_model_provider/model/llm.py
index 7c3b39d31..6380f752f 100644
--- a/apps/setting/models_provider/impl/xf_model_provider/model/llm.py
+++ b/apps/setting/models_provider/impl/xf_model_provider/model/llm.py
@@ -9,7 +9,7 @@
 from typing import List, Optional, Any, Iterator, Dict
 
 from langchain_community.chat_models.sparkllm import \
-    ChatSparkLLM, _convert_message_to_dict, _convert_delta_to_message_chunk
+    ChatSparkLLM, convert_message_to_dict, _convert_delta_to_message_chunk
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.messages import BaseMessage, AIMessageChunk
 from langchain_core.outputs import ChatGenerationChunk
@@ -56,7 +56,7 @@ class XFChatSparkLLM(MaxKBBaseModel, ChatSparkLLM):
         default_chunk_class = AIMessageChunk
 
         self.client.arun(
-            [_convert_message_to_dict(m) for m in messages],
+            [convert_message_to_dict(m) for m in messages],
             self.spark_user_id,
             self.model_kwargs,
             True,
diff --git a/pyproject.toml b/pyproject.toml
index a421f2888..24bbcb0ac 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,7 +12,7 @@ djangorestframework = "^3.15.2"
 drf-yasg = "1.21.7"
 django-filter = "23.2"
 langchain = "0.2.16"
-langchain_community = "0.2.4"
+langchain_community = "0.2.17"
 langchain-huggingface = "^0.0.3"
 psycopg2-binary = "2.9.7"
 jieba = "^0.42.1"