diff --git a/cdk/examples/generative_ai_rag/requirements.txt b/cdk/examples/generative_ai_rag/requirements.txt
index 07d26daa..da6abfe6 100644
--- a/cdk/examples/generative_ai_rag/requirements.txt
+++ b/cdk/examples/generative_ai_rag/requirements.txt
@@ -5,4 +5,4 @@ boto3
 aws-cdk.aws-lambda-python-alpha==2.156.0a0
 cdklabs.generative-ai-cdk-constructs>=0.1.271
 constructs>=10.0.0,<11.0.0
-setuptools>=75.1.0
\ No newline at end of file
+setuptools>=75.1.0
diff --git a/cdk/examples/generative_ai_rag/web-app/pages/foundation_model.py b/cdk/examples/generative_ai_rag/web-app/pages/foundation_model.py
index 84fe2ad5..620efa11 100644
--- a/cdk/examples/generative_ai_rag/web-app/pages/foundation_model.py
+++ b/cdk/examples/generative_ai_rag/web-app/pages/foundation_model.py
@@ -35,7 +35,7 @@ def get_parameter(name):
     # Use the native inference API to send a text message to Anthropic Claude.
 
     # Create a Bedrock Runtime client in the AWS Region of your choice.
-    client = boto3.client("bedrock-runtime", region_name="us-east-1")
+    client = boto3.client("bedrock-runtime")
 
     # Set the model ID, e.g., Claude 3 Haiku.
     model_id = "anthropic.claude-3-haiku-20240307-v1:0"
diff --git a/cdk/examples/generative_ai_rag/web-app/pages/rag_integration.py b/cdk/examples/generative_ai_rag/web-app/pages/rag_integration.py
index d87b5312..4837c45e 100644
--- a/cdk/examples/generative_ai_rag/web-app/pages/rag_integration.py
+++ b/cdk/examples/generative_ai_rag/web-app/pages/rag_integration.py
@@ -52,7 +52,7 @@ def get_parameter(name):
                     msg = chunk['bytes'].decode('utf-8')
                     st.session_state.messages.append(
                         {
-                            "role": "assistant", 
+                            "role": "assistant",
                             "content": msg
                         }
                     )
@@ -60,7 +60,7 @@ def get_parameter(name):
     except Exception as e:
             print(f"Error: {e}")
             st.error("An error occurred while processing the agent's response. Please check the logs for details.")
-            
+
             msg = "I encountered an issue while processing the response. Could you please rephrase your prompt or try a different question?"
             st.session_state.messages.append({"role": "assistant", "content": msg})
             st.chat_message("assistant").write(msg)