In this post, we'll discuss our project that leverages Pulumi and Docker Compose to automate the deployment of InterSystems WSGI applications on AWS. The focus is on simplicity and efficiency, using pre-built infrastructure templates for provisioning and scaling AWS resources.

Overview

This repository automates the deployment of a WSGI-based application using AWS infrastructure templates and Pulumi’s Python SDK. The infrastructure is provisioned with Pulumi's declarative approach, while Docker Compose handles application orchestration.

Overview

In our previous post, we discussed the motivation for developing a chatbot agent with access to FHIR resources. In this post, we will dive into the high-level design aspects of integrating a Streamlit-based chat interface with a Java SpringBoot backend, and enabling a LangChain agent with access to FHIR (Fast Healthcare Interoperability Resources) via APIs.

Motivation

The motivation behind the InterLang project is rooted in the innovative integration of LangChain chatbot agents with the Fast Healthcare Interoperability Resources (FHIR) framework to revolutionize conversational social prescriptions in healthcare. This project aims to leverage the rich and standardized data available through FHIR, an emerging standard in healthcare data exchange, to inform and empower these advanced chatbot agents.

FHIR provides a robust structure for health data, encompassing clinical, administrative, and financial information.