diff --git a/main.py b/main.py
index 1116422..048b602 100644
--- a/main.py
+++ b/main.py
@@ -14,7 +14,7 @@ from utils import get_last_user_message, stream_message_template
 from schemas import OpenAIChatCompletionForm
 from config import MODEL_ID, MODEL_NAME
 
-from rag_pipeline import get_response
+from pipeline import get_response
 
 app = FastAPI(docs_url="/docs", redoc_url=None)
 
diff --git a/rag_pipeline.py b/pipeline.py
similarity index 60%
rename from rag_pipeline.py
rename to pipeline.py
index 1be77ee..aeb2a85 100644
--- a/rag_pipeline.py
+++ b/pipeline.py
@@ -5,8 +5,7 @@ from schemas import OpenAIChatMessage
 def get_response(
     user_message: str, messages: List[OpenAIChatMessage]
 ) -> Union[str, Generator]:
-    # This is where you can add your custom RAG pipeline.
-    # Typically, you would retrieve relevant information from your knowledge base and synthesize it to generate a response.
+    # This is where you can add your custom pipelines like RAG.
 
     print(messages)
     print(user_message)