AI Travel Agent Memory

🧳 AI Travel Agent with Memory

This Streamlit app implements an AI-powered travel assistant that remembers user preferences and past interactions. It utilizes OpenAI's GPT-4o for generating responses and Mem0 with Qdrant for maintaining conversation history.

Features

• Chat-based interface for interacting with an AI travel assistant
• Persistent memory of user preferences and past conversations
• Utilizes OpenAI's GPT-4o model for intelligent responses
• Implements memory storage and retrieval using Mem0 and Qdrant
• User-specific conversation history and memory viewing

How to get Started?

1. Clone the GitHub repository

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory

2. Install the required dependencies:

pip install -r requirements.txt

3. Ensure Qdrant is running:

The app expects Qdrant to be running on localhost:6333. Adjust the configuration in the code if your setup is different.

docker pull qdrant/qdrant

docker run -p 6333:6333 -p 6334:6334 \
    -v $(pwd)/qdrant_storage:/qdrant/storage:z \
    qdrant/qdrant

4. Run the Streamlit App

streamlit run travel_agent_memory.py