diff --git a/.env.example b/.env.example
index a477561..58a43a4 100644
--- a/.env.example
+++ b/.env.example
@@ -63,6 +63,7 @@ AWS_BEDROCK_EMBEDDING_MODEL=amazon.titan-embed-text-v2:0
 # EMBEDDING_PROVIDER='huggingface'
 # HUGGING_FACE_EMBEDDING_REPO_ID=
 # HUGGING_FACE_EMBEDDING_MODEL=
+
 # HUGGING_FACE_EMBEDDING_API_TOKEN=
 
 DATAHUB_SERVER = 'http://-.-.-.-:-'
@@ -131,4 +132,5 @@ DATAHUB_SERVER = 'http://-.-.-.-:-'
 
 # sqlite
 # DB_TYPE=sqlite
-# SQLITE_PATH=./data/sqlite.db
\ No newline at end of file
+# SQLITE_PATH=./data/sqlite.db
+
diff --git a/setup.py b/setup.py
index dd38d24..8628312 100644
--- a/setup.py
+++ b/setup.py
@@ -5,6 +5,8 @@
 pip 또는 Python 배포 도구들이 이 정보를 바탕으로 설치를 수행합니다.
 """
 
+import os
+import glob
 from setuptools import find_packages, setup
 
 from version import __version__
@@ -41,7 +43,11 @@ def load_requirements(path="requirements.txt"):
     description="Lang2SQL - Query Generator for Data Warehouse",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    packages=find_packages(),
+    packages=find_packages() + ["prompt"],
+    include_package_data=False,
+    package_data={
+        "prompt": ["*.md"],
+    },
     install_requires=requirements,
     entry_points={
         "console_scripts": [