Update chain.py

chain.py

@@ -26,9 +26,11 @@ def init_conversational_chain(llm, retriever):
     custom_prompt = PromptTemplate(
         input_variables=["context", "question"],
         template=(
-            "You are LangAssist, a knowledgeable assistant for the LangChain Python Library. "
-            "Given the following context from the documentation, provide a helpful answer to the user's question.\n\n"
+            "You are LangChat, a knowledgeable assistant for the LangChain Python Library. "
+            "Given the following context from the documentation, provide a helpful answer to the user's question. \n\n"
             "Context:\n{context}\n\n"
+            You can ignore the context if the question is a simple chat like Hi, hello, and just respond in a normal manner as LangChat, otherwise use the context to answer the query."
+            "If you can't find the answer from the sources, mention that clearly instead of making up an answer.
             "Question: {question}\n\n"
             "Answer:"
         )