diff --git a/docker/Dockerfile b/docker/Dockerfile
index 48fb433..7e55de4 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -17,7 +17,7 @@ RUN apt-get install -y gcc python3-dev
 # Official: https://pypi.org/simple
 ARG PYTHON_INDEX_URL=https://pypi.mirrors.ustc.edu.cn/simple/
 COPY libs /libs
-RUN python -m pip install ragas langchain sentencepiece -i ${PYTHON_INDEX_URL}
+RUN python -m pip install ragas langchain sentencepiece protobuf -i ${PYTHON_INDEX_URL}
 WORKDIR /libs/core
 RUN pip install -e . -i ${PYTHON_INDEX_URL}
 
diff --git a/libs/core/kubeagi_core/evaluation/ragas_eval.py b/libs/core/kubeagi_core/evaluation/ragas_eval.py
index 15c701a..adecd66 100644
--- a/libs/core/kubeagi_core/evaluation/ragas_eval.py
+++ b/libs/core/kubeagi_core/evaluation/ragas_eval.py
@@ -22,7 +22,7 @@
 
 from ragas import evaluate
 from ragas.embeddings import BaseRagasEmbeddings
-from ragas.llms import BaseRagasLLM
+from ragas.llms import BaseRagasLLM, LangchainLLMWrapper
 from ragas.metrics import (
     AnswerCorrectness,
     AnswerRelevancy,
@@ -87,10 +87,12 @@ def __init__(
         )
 
         # Initialize judge llm
-        self.llm = ChatOpenAI(
-            model_name=self.llm_model,
-            openai_api_key=self.api_key,
-            openai_api_base=self.api_base,
+        self.llm = LangchainLLMWrapper(
+            langchain_llm=ChatOpenAI(
+                name=self.llm_model,
+                api_key=self.api_key,
+                base_url=self.api_base,
+            )
         )
 
         # Initialize judge embedding
diff --git a/libs/core/pyproject.toml b/libs/core/pyproject.toml
index 9995154..349b3e5 100644
--- a/libs/core/pyproject.toml
+++ b/libs/core/pyproject.toml
@@ -18,8 +18,8 @@ classifiers = [
 dependencies = [
     "docx2txt==0.8",
     "kubernetes==25.3.0",
-    "langchain==0.1.0",
-    "ragas==0.0.22",
+    "langchain>=0.1.0",
+    "ragas>=0.1.0",
     "spacy==3.5.4",
     "zhipuai==1.0.7",
 ]