AI Customer Support Agent

🛒 AI Customer Support Agent with Memory

🎓 FREE Step-by-Step Tutorial

👉 Click here to follow our complete step-by-step tutorial and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.

This Streamlit app implements an AI-powered customer support agent for synthetic data generated using GPT-4o. 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/Shubhamsaboo/awesome-llm-apps.git
cd advanced_ai_agents/single_agent_apps/ai_customer_support_agent

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 customer_support_agent.py