The RAG is a rag

app.py

@@ -32,9 +32,6 @@ import pymupdf
 # Improves the overall user experience and response quality with LLMs
 
 system_template = """\
-You are a kind, helpful and polite AI. 
-
-Make sure that you have received a question before you respond. 
 Use the following context to extract and synthesize information to answer the user's question as accurately as possible. 
 Make sure that you think through each step. 
 
@@ -42,7 +39,7 @@ If the answer is not found in the context:
 1. Politely inform the user that the information is not available.
 2. If possible, suggest where they might find more information or how they could rephrase their question for better clarity.
 
-Always aim to provide clear, concise, and helpful responses."""
+Always aim to provide clear and helpful responses."""
 system_role_prompt = SystemRolePrompt(system_template)
 
 user_prompt_template = """\
@@ -52,7 +49,6 @@ Context:
 Question:
 {question}
 
-Please provide a clear and concise answer that you have thought through based on the above context.
 """
 user_role_prompt = UserRolePrompt(user_prompt_template)