Update app.py

app.py

@@ -174,19 +174,10 @@ def create_conversational_rag_chain(retriever):
         verbose=False,
     )
 
-    qa_system_prompt = """ Use the following pieces of retrieved context to answer the question{question} . \
-     Be  informative but dont make to long answers, be polite and formal.\
-    Make answer in Enlish Language.\
-     Make answer based on context .\
-     If you don't know the answer, say " Please provide more details about your question ." \
+    from langchain import hub
+    prompt = hub.pull("rlm/rag-prompt")
 
-
-     {context}"""
-    
-    
-    answer_prompt = ChatPromptTemplate.from_template(qa_system_prompt)
-
-    rag_chain = answer_prompt | llm | StrOutputParser()
+    rag_chain = prompt | llm | StrOutputParser()
 
 
     return rag_chain