LLM App with Memory (MemoryVault-LLM)

This Streamlit application functions as an AI-powered chatbot, utilizing OpenAI's GPT-4o model with a memory retention feature. It allows users to converse with the AI, maintaining context over multiple interactions for a seamless conversational experience.

Features

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

How to get Started?

1. Clone the GitHub repository

git clone https://github.com/0xPriyanshuJha/MemoryVault-LLM.git

2. Install the required dependencies:

pip install streamlit, mem0, openai

3. Ensure Qdrant is running: The app expects Qdrant to be running on localhost:6333. Adjust the configuration in the code as per your requirement.

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.py