Leveraging Large Language Models for Efficient Retrieval of Electronic Health Records: Incorporating Long-Term Memory into End-to-End Task-Oriented Dialogue System

Python Package that enables Multi-Turn Conversations to use Long-Term Memory. Disclaimer: This repository is under active development and might therefore change in unforeseeable ways and reasons.

Prerequisites

What things you need to install the software and how to install them:

• Docker
• Python
• Poetry for Python dependency management. You can install Poetry by following the instructions on the official Poetry website.

curl -sSL https://install.python-poetry.org | python3 -

Running the Application

The whole application is run through Docker. This starts up a LiteLLM proxy instance, a PostgreSQL database and the actual Python program running the memory pipeline.

For a closer look on what's happening, see the docker-compose.yml in the root directory.

docker compose up