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README.md
README.md
 
 
requirements.txt
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travel_agent_memory.py
travel_agent_memory.py
 
 

README.md

🧳 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
  1. Install the required dependencies:
pip install -r requirements.txt
  1. 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
  1. Run the Streamlit App
streamlit run travel_agent_memory.py