fix connect mongodb

NLP_model/chatbot.py

@@ -105,16 +105,17 @@ CACHE_TTL = 1800  # 30 phút tính bằng giây
 prompt = PromptTemplate(
     template = """Goal:
 You are a professional tour guide assistant that assists users in finding information about places in Da Nang, Vietnam.
-You can provide details on restaurants, cafes, hotels, attractions, and other local venues. You have to chat with users, who are Da Nang tourists. 
+You can provide details on restaurants, cafes, hotels, attractions, and other local venues. 
+You have to use core knowledge and conversation history to chat with users, who are Da Nang's tourists. 
 
 Return Format:
-Respond in friendly, natural, and concise English like a real tour guide. 
+Respond in friendly, natural, concise and use only English like a real tour guide. 
 
 Warning:
 Let's support users like a real tour guide, not a bot. The information in core knowledge is your own knowledge.
 Your knowledge is provided in the Core Knowledge. All of information in Core Knowledge is about Da Nang, Vietnam.
 You just care about current time that user mention when user ask about Solana event.
-If you do not have enough information to answer user's question, reply with "I don't know. I don't have information about that".
+If you do not have enough information to answer user's question, please reply with "I don't know. I don't have information about that".
 
 Core knowledge:
 {context}
@@ -150,7 +151,7 @@ def get_chain():
             text_key="text"
         )
         
-        _retriever_instance = vectorstore.as_retriever(search_kwargs={"k": 4})
+        _retriever_instance = vectorstore.as_retriever(search_kwargs={"k": 5})
         logger.info(f"Pinecone retriever initialized in {time.time() - start_time:.2f} seconds")
         return _retriever_instance
     except Exception as e: