README

🧠 Multi-LLM App with Shared Memory

This Streamlit application demonstrates a multi-LLM system with a shared memory layer, allowing users to interact with different language models while maintaining conversation history and context across sessions.

Features

• Support for multiple LLMs:

  • OpenAI's GPT-4o
  • Anthropic's Claude 3.5 Sonnet

• Persistent memory using Qdrant vector store

• User-specific conversation history

• Memory retrieval for contextual responses

• User-friendly interface with LLM selection

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/multi_llm_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 qdrant/qdrant

4. Run the Streamlit App

streamlit run multi_llm_memory.py