diff --git a/examples/use-rdb-resource/main.py b/examples/use-rdb-resource/main.py
index 26ba635a7..272dcc2b5 100644
--- a/examples/use-rdb-resource/main.py
+++ b/examples/use-rdb-resource/main.py
@@ -2,7 +2,6 @@
 from openssa import DANA, DbResource
 from dotenv import load_dotenv
 
-# .envファイルの読み込み
 load_dotenv()
 
 def get_or_create_agent(query) -> DANA:
@@ -19,7 +18,7 @@ def solve(question, query) -> str:
 
 if __name__ == '__main__':
     QUESTION = (
-        "What is the best-selling product in the last year from sales_data table?"
+        "Can you list the products in order of sales volume from highest to lowest?"
     )
 
     query = generate_sql_from_prompt(QUESTION)
diff --git a/examples/use-rdb-resource/make_example_table_data.py b/examples/use-rdb-resource/make_example_table_data.py
index 224f5ad5f..f5faa1bc3 100644
--- a/examples/use-rdb-resource/make_example_table_data.py
+++ b/examples/use-rdb-resource/make_example_table_data.py
@@ -6,7 +6,6 @@
 import os
 from myvanna import train_vanna_for_sales_data
 
-# .envファイルの読み込み
 load_dotenv()
 
 Base = declarative_base()
@@ -44,7 +43,6 @@ def drop_table(self, table_class):
         if inspector.has_table(table_class.__tablename__):
             table_class.__table__.drop(self.engine)
 
-# データ生成
 fake = Faker()
 seed_value = 42
 random.seed(seed_value)
@@ -85,7 +83,6 @@ def generate_sales_data(session, num_records):
     session = db.get_session()
 
     generate_sales_data(session, 20000)
-    print("20000件のデータがsales_dataテーブルに作成されました。")
 
     train_vanna_for_sales_data("""
         CREATE TABLE sales_data (
@@ -96,4 +93,3 @@ def generate_sales_data(session, num_records):
             region VARCHAR(255)
         )
     """)
-    print("vannaをsales_dataに合わせて訓練しました。")
diff --git a/examples/use-rdb-resource/myvanna.py b/examples/use-rdb-resource/myvanna.py
index 9f9c90d39..0e544d350 100644
--- a/examples/use-rdb-resource/myvanna.py
+++ b/examples/use-rdb-resource/myvanna.py
@@ -3,10 +3,8 @@
 from vanna.openai import OpenAI_Chat
 from vanna.chromadb import ChromaDB_VectorStore
 
-# .envファイルの読み込み
 load_dotenv()
 
-# 環境変数から接続情報を取得
 db_user = os.getenv('DB_USERNAME')
 db_password = os.getenv('DB_PASSWORD')
 db_host = os.getenv('DB_HOST')
@@ -14,18 +12,17 @@
 db_database = os.getenv('DB_NAME')
 openai_api_key = os.getenv('OPENAI_API_KEY')
 
-# MyVannaクラス定義
 class MyVanna(ChromaDB_VectorStore, OpenAI_Chat):
     def __init__(self, config=None):
         ChromaDB_VectorStore.__init__(self, config=config)
         OpenAI_Chat.__init__(self, config=config)
 
-# sales_dataに基づいてVannaを訓練する関数
+
 def train_vanna_for_sales_data(ddl):
     vn_openai = MyVanna(config={'model': 'gpt-4o', 'api_key': openai_api_key})
     vn_openai.train(ddl=ddl)
 
-# プロンプトからSQLを生成する関数
+
 def generate_sql_from_prompt(question) -> str:
     vn_openai = MyVanna(config={'model': 'gpt-4o', 'api_key': openai_api_key})
     vn_openai.connect_to_mysql(host=db_host, dbname=db_database, user=db_user, password=db_password, port=db_port)