diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 0000000..1a09552
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,9 @@
+version: "3"
+services:
+  app:
+    build: .
+    volumes:
+      - .:/opt/workspace  # 로컬 디렉토리와 컨테이너 디렉토리 동기화
+    ports:
+      - "8501:8501"  # Streamlit 앱 포트 설정
+    container_name: streamlit-rag   # 컨테이너 이름 설정
diff --git a/dockerfile b/dockerfile
index cdc3da4..45c9f8c 100644
--- a/dockerfile
+++ b/dockerfile
@@ -1,6 +1,7 @@
 FROM pytorch/pytorch:latest
-WORKDIR /app
 
+ADD . /opt/workspace
+WORKDIR /opt/workspace
 # 필수 패키지 설치
 RUN apt-get update && apt-get install -y python3-pip
 
diff --git a/main.py b/main.py
index 6069259..3c3e9c3 100644
--- a/main.py
+++ b/main.py
@@ -84,10 +84,15 @@ def load_and_process_documents(directory_path):
 
 def save_faiss_index(faiss_index, path="faiss_index"):
     faiss_index.save_local(path)
-
-
+    print("-------------------------------------------")
+    print("save_faiss_index")
+    print("-------------------------------------------")
+    
 def load_faiss_index(path="faiss_index"):
     embeddings = embedding()
+    print("-------------------------------------------")
+    print("load_faiss_index")
+    print("-------------------------------------------")
     return FAISS.load_local(path, embeddings, allow_dangerous_deserialization=True)
 
 
@@ -101,6 +106,7 @@ def initialize_processing():
     try:
         faiss_index = load_faiss_index(SAVE_VD)
     except Exception:
+        print("no load_faiss_index")
         embeddings = embedding()
         faiss_index = FAISS.from_documents(docs, embeddings)
         save_faiss_index(faiss_index, SAVE_VD)
@@ -168,10 +174,11 @@ if user_input := st.chat_input():
 
     with st.spinner("문서 검색 및 답변 생성 중..."):
         docs = reranker.invoke(user_input)
+        print(docs)
 
         context_texts = "\n\n".join(
             [
-                f"- {doc[0].metadata['source']} (유사도: {doc[1]}): {doc[0].page_content}"
+                f"- {doc[0].metadata['source']} (유사도: {doc[1]}): {doc[0].page_content}" 
                 for doc in docs
             ]
         )