README

🧠 LLM App with Memory

This Streamlit app is an AI-powered chatbot that uses OpenAI's GPT-4o model with a persistent memory feature. It allows users to have conversations with the AI while maintaining context across multiple interactions.

Features

• Utilizes OpenAI's GPT-4o model for generating responses
• Implements persistent memory using Mem0 and Qdrant vector store
• Allows users to view their conversation history
• Provides a user-friendly interface with Streamlit

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/llm_app_personalized_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 llm_app_memory.py