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🛒 AI Customer Support Agent with Memory

This Streamlit app implements an AI-powered customer support agent for TechGadgets.com, an online electronics store. The agent uses OpenAI's GPT-4o model and maintains a memory of past interactions using the Mem0 library with Qdrant as the vector store.

Features

  • Chat interface for interacting with the AI customer support agent
  • Persistent memory of customer interactions and profiles
  • Synthetic data generation for testing and demonstration
  • Utilizes OpenAI's GPT-4o model for intelligent responses

How to get Started?

  1. Clone the GitHub repository
git clone https://github.com/sachnaror/LLM-Apps-Experiments.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 customer_support_agent.py