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#1	---
#2	title: Smart Travel Assistant
#3	description: "Plan itineraries that remember traveler preferences across trips."
#4	---
#5
#6
#7	Create a personalized AI Travel Assistant using Mem0. This guide provides step-by-step instructions and the complete code to get you started.
#8
#9	## Overview
#10
#11	The Personalized AI Travel Assistant uses Mem0 to store and retrieve information across interactions, enabling a tailored travel planning experience. It integrates with OpenAI's GPT-4 model to provide detailed and context-aware responses to user queries.
#12
#13	## Setup
#14
#15	Install the required dependencies using pip:
#16
#17	```bash
#18	pip install openai mem0ai
#19	```
#20
#21	## Full Code Example
#22
#23	Here's the complete code to create and interact with a Personalized AI Travel Assistant using Mem0:
#24
#25	<CodeGroup>
#26
#27	```python After v1.1
#28	import os
#29	from openai import OpenAI
#30	from mem0 import Memory
#31
#32	# Set the OpenAI API key
#33	os.environ['OPENAI_API_KEY'] = "sk-xxx"
#34
#35	config = {
#36	"llm": {
#37	"provider": "openai",
#38	"config": {
#39	"model": "gpt-4.1-nano-2025-04-14",
#40	"temperature": 0.1,
#41	"max_tokens": 2000,
#42	}
#43	},
#44	"embedder": {
#45	"provider": "openai",
#46	"config": {
#47	"model": "text-embedding-3-large"
#48	}
#49	},
#50	"vector_store": {
#51	"provider": "qdrant",
#52	"config": {
#53	"collection_name": "test",
#54	"embedding_model_dims": 3072,
#55	}
#56	},
#57	"version": "v1.1",
#58	}
#59
#60	class PersonalTravelAssistant:
#61	def __init__(self):
#62	self.client = OpenAI()
#63	self.memory = Memory.from_config(config)
#64	self.messages = [{"role": "system", "content": "You are a personal AI Assistant."}]
#65
#66	def ask_question(self, question, user_id):
#67	# Fetch previous related memories
#68	previous_memories = self.search_memories(question, user_id=user_id)
#69
#70	# Build the prompt
#71	system_message = "You are a personal AI Assistant."
#72
#73	if previous_memories:
#74	prompt = f"{system_message}\n\nUser input: {question}\nPrevious memories: {', '.join(previous_memories)}"
#75	else:
#76	prompt = f"{system_message}\n\nUser input: {question}"
#77
#78	# Generate response using Responses API
#79	response = self.client.responses.create(
#80	model="gpt-4.1-nano-2025-04-14",
#81	input=prompt
#82	)
#83
#84	# Extract answer from the response
#85	answer = response.output[0].content[0].text
#86
#87	# Store the question in memory
#88	self.memory.add(question, user_id=user_id)
#89	return answer
#90
#91	def get_memories(self, user_id):
#92	memories = self.memory.get_all(user_id=user_id)
#93	return [m['memory'] for m in memories['results']]
#94
#95	def search_memories(self, query, user_id):
#96	memories = self.memory.search(query, user_id=user_id)
#97	return [m['memory'] for m in memories['results']]
#98
#99	# Usage example
#100	user_id = "traveler_123"
#101	ai_assistant = PersonalTravelAssistant()
#102
#103	def main():
#104	while True:
#105	question = input("Question: ")
#106	if question.lower() in ['q', 'exit']:
#107	print("Exiting...")
#108	break
#109
#110	answer = ai_assistant.ask_question(question, user_id=user_id)
#111	print(f"Answer: {answer}")
#112	memories = ai_assistant.get_memories(user_id=user_id)
#113	print("Memories:")
#114	for memory in memories:
#115	print(f"- {memory}")
#116	print("-----")
#117
#118	if __name__ == "__main__":
#119	main()
#120	```
#121
#122	```python Before v1.1
#123	import os
#124	from openai import OpenAI
#125	from mem0 import Memory
#126
#127	# Set the OpenAI API key
#128	os.environ['OPENAI_API_KEY'] = 'sk-xxx'
#129
#130	class PersonalTravelAssistant:
#131	def __init__(self):
#132	self.client = OpenAI()
#133	self.memory = Memory()
#134	self.messages = [{"role": "system", "content": "You are a personal AI Assistant."}]
#135
#136	def ask_question(self, question, user_id):
#137	# Fetch previous related memories
#138	previous_memories = self.search_memories(question, user_id=user_id)
#139	prompt = question
#140	if previous_memories:
#141	prompt = f"User input: {question}\n Previous memories: {previous_memories}"
#142	self.messages.append({"role": "user", "content": prompt})
#143
#144	# Generate response using gpt-4.1-nano
#145	response = self.client.chat.completions.create(
#146	model="gpt-4.1-nano-2025-04-14"2025-04-14",
#147	messages=self.messages
#148	)
#149	answer = response.choices[0].message.content
#150	self.messages.append({"role": "assistant", "content": answer})
#151
#152	# Store the question in memory
#153	self.memory.add(question, user_id=user_id)
#154	return answer
#155
#156	def get_memories(self, user_id):
#157	memories = self.memory.get_all(user_id=user_id)
#158	return [m['memory'] for m in memories.get('results', [])]
#159
#160	def search_memories(self, query, user_id):
#161	memories = self.memory.search(query, user_id=user_id)
#162	return [m['memory'] for m in memories.get('results', [])]
#163
#164	# Usage example
#165	user_id = "traveler_123"
#166	ai_assistant = PersonalTravelAssistant()
#167
#168	def main():
#169	while True:
#170	question = input("Question: ")
#171	if question.lower() in ['q', 'exit']:
#172	print("Exiting...")
#173	break
#174
#175	answer = ai_assistant.ask_question(question, user_id=user_id)
#176	print(f"Answer: {answer}")
#177	memories = ai_assistant.get_memories(user_id=user_id)
#178	print("Memories:")
#179	for memory in memories:
#180	print(f"- {memory}")
#181	print("-----")
#182
#183	if __name__ == "__main__":
#184	main()
#185	```
#186	</CodeGroup>
#187
#188
#189	## Key Components
#190
#191	- Initialization: The `PersonalTravelAssistant` class is initialized with the OpenAI client and Mem0 memory setup.
#192	- Asking Questions: The `ask_question` method sends a question to the AI, incorporates previous memories, and stores new information.
#193	- Memory Management: The `get_memories` and search_memories methods handle retrieval and searching of stored memories.
#194
#195	## Usage
#196
#197	1. Set your OpenAI API key in the environment variable.
#198	2. Instantiate the `PersonalTravelAssistant`.
#199	3. Use the `main()` function to interact with the assistant in a loop.
#200
#201	## Conclusion
#202
#203	This Personalized AI Travel Assistant leverages Mem0's memory capabilities to provide context-aware responses. As you interact with it, the assistant learns and improves, offering increasingly personalized travel advice and information.
#204
#205	---
#206
#207	<CardGroup cols={2}>
#208	<Card title="Tag and Organize Memories" icon="tag" href="/cookbooks/essentials/tagging-and-organizing-memories">
#209	Use categories to organize travel preferences, destinations, and user context.
#210	</Card>
#211	<Card title="AI Tutor with Mem0" icon="graduation-cap" href="/cookbooks/companions/ai-tutor">
#212	Build an educational companion that remembers learning progress and preferences.
#213	</Card>
#214	</CardGroup>
#215

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