Update rag_pipeline.py

rag_pipeline.py

@@ -3,6 +3,10 @@ from schemas import OpenAIChatMessage
 
 
 def get_response(user_message: str, messages: List[OpenAIChatMessage]):
+    # 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.
+
     print(messages)
     print(user_message)
+
     return f"rag response to: {user_message}"