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+---
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+title: Personal AI Travel Assistant
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+---
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+Create a personalized AI Travel Assistant using Mem0. This guide provides step-by-step instructions and the complete code to get you started.
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+
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+## Overview
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+
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+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.
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+
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+## Setup
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+
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+Install the required dependencies using pip:
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+
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+```bash
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+pip install openai mem0ai
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+```
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+
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+## Full Code Example
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+
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+Here's the complete code to create and interact with a Personalized AI Travel Assistant using Mem0:
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+
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+```python
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+import os
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+from openai import OpenAI
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+from mem0 import Memory
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+
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+# Set the OpenAI API key
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+os.environ['OPENAI_API_KEY'] = 'sk-xxx'
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+
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+class PersonalTravelAssistant:
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+ def __init__(self):
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+ self.client = OpenAI()
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+ self.memory = Memory()
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+ self.messages = [{"role": "system", "content": "You are a personal AI Assistant."}]
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+
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+ def ask_question(self, question, user_id):
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+ # Fetch previous related memories
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+ previous_memories = self.search_memories(question, user_id=user_id)
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+ prompt = question
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+ if previous_memories:
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+ prompt = f"User input: {question}\n Previous memories: {previous_memories}"
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+ self.messages.append({"role": "user", "content": prompt})
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+
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+ # Generate response using GPT-4o
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+ response = self.client.chat.completions.create(
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+ model="gpt-4o",
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+ messages=self.messages
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+ )
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+ answer = response.choices[0].message.content
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+ self.messages.append({"role": "assistant", "content": answer})
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+
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+ # Store the question in memory
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+ self.memory.add(question, user_id=user_id)
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+ return answer
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+
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+ def get_memories(self, user_id):
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+ memories = self.memory.get_all(user_id=user_id)
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+ return [m['text'] for m in memories]
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+
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+ def search_memories(self, query, user_id):
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+ memories = self.memory.search(query, user_id=user_id)
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+ return [m['text'] for m in memories]
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+
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+# Usage example
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+user_id = "traveler_123"
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+ai_assistant = PersonalTravelAssistant()
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+
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+def main():
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+ while True:
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+ question = input("Question: ")
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+ if question.lower() in ['q', 'exit']:
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+ print("Exiting...")
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+ break
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+
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+ answer = ai_assistant.ask_question(question, user_id=user_id)
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+ print(f"Answer: {answer}")
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+ memories = ai_assistant.get_memories(user_id=user_id)
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+ print("Memories:")
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+ for memory in memories:
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+ print(f"- {memory}")
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+ print("-----")
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+
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+if __name__ == "__main__":
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+ main()
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+```
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+
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+## Key Components
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+
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+- **Initialization**: The `PersonalTravelAssistant` class is initialized with the OpenAI client and Mem0 memory setup.
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+- **Asking Questions**: The `ask_question` method sends a question to the AI, incorporates previous memories, and stores new information.
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+- **Memory Management**: The `get_memories` and search_memories methods handle retrieval and searching of stored memories.
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+
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+## Usage
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+
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+1. Set your OpenAI API key in the environment variable.
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+2. Instantiate the `PersonalTravelAssistant`.
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+3. Use the `main()` function to interact with the assistant in a loop.
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+
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+## Conclusion
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+
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+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.
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Deshraj Yadav
