I just restarted an AWS instance that have been dormant for 6 months (license still valid) only to find that the web application on there doesn't work and that I cannot connect to the management portal. I can however connect to the web gateway fine but it reports the "Server is currently unavailable".

Grateful any for any advice.

Fred Gustafsson

Learning LLM Magic

The world of Generative AI has been pretty inescapable for a while, commercial models running on paid Cloud instances are everywhere. With your data stored securely on-prem in IRIS, it might seem daunting to start getting the benefit of experimentation with Large Language Models without having to navigate a minefield of Governance and rapidly evolving API documentation. If only there was a way to bring an LLM to IRIS, preferably in a very small code footprint....

The ability to resend messages easily has always been a strong feature of our Interoperability capabilities.

With v2024.3 coming out soon (available already now as Developer Preview) out already we've made this even easier!

Many programming languages use the try-and-catch construct to handle runtime errors gracefully. If the code within the try block encounters an error, it will throw an exception to the catch block, where the error handling occurs.

Hi Community,

It's voting time! Cast your votes for the best applications in our "Bringing Ideas to Reality" Contest:

🔥 VOTE FOR THE BEST APPS 🔥

How to vote? Details below.

Hi Community,

Traditional keyword-based search struggles with nuanced, domain-specific queries. Vector search, however, leverages semantic understanding, enabling AI agents to retrieve and generate responses based on context—not just keywords.

This article provides a step-by-step guide to creating an Agentic AI RAG (Retrieval-Augmented Generation) application.

Implementation Steps:

1. Create Agent Tools
   • Add Ingest functionality: Automatically ingests and index documents (e.g., InterSystems IRIS 2025.1 Release Notes).
   • Implement Vector Search Functionality
2. Create Vector Search Agent
3. Handoff to Triage (Main Agent)
4. Run The Agent

Summer is coming to an end, and we’re sure you had plenty of highlights! ✨

Maybe you learned something valuable, got yourself a reward on Global Masters, or even joined READY 2025 🎉

Here’s a quick checklist — but you can, of course, share anything else about your summer in the comments. Photos are more than welcome 📸

Welcome to the Q4’2024 quarterly platforms update. I hope that your 2024 has been incredible and that 2025 is even better.

If you’re new to these updates, welcome! This update aims to share recent changes as well as our best current knowledge on upcoming changes, but predicting the future is tricky business and this shouldn’t be considered a committed roadmap.

Runtime Enforcement

We have a big update this quarter.

• RHEL 10 was released yesterday, read on for what that means for you
• 2025.3 will use OpenSSL 3 across all operating systems  SUSE 15 sp6 will be the minimum OS for orgs using SUSE
• The minimum CPU standards are going up in 2025.3
• Older Windows Server operating systems will no longer be supported in 2025.3

I know that people who are completely new to VS Code, Git, Docker, FHIR, and other tools can sometimes struggle with setting up the environment. So I decided to write an article that walks through the entire setup process step by step to make it easier to get started.

I’d really appreciate it if you could leave a comment at the end - let me know if the instructions were clear, if anything was missing, or if there’s anything else you'd find helpful.

The setup includes:

✅ VS Code – Code editor
✅ Git – Version control system
✅ Docker – Runs an instance of IRIS for Health Community
✅ VS Code REST Client Extension – For running FHIR API queries
✅ Python – For writing FHIR-based scripts
✅ Jupyter Notebooks – For AI and FHIR assignments

Before you begin: Ensure you have administrator privileges on your system.

In addition to reading the guide, you can also follow the steps in the videos:

For Windows

https://www.youtube.com/embed/IyvuHbxCwCY
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Hi Community,

In this article, we will explore the concepts of Dynamic SQL and Embedded SQL within the context of InterSystems IRIS, provide practical examples, and examine their differences to help you understand how to leverage them in your applications.

InterSystems SQL provides a full set of standard relational features, including the ability to define table schema, execute queries, and define and execute stored procedures. You can execute InterSystems SQL interactively from the Management Portal or programmatically using a SQL shell interface. Embedded SQL enables you to embed SQL statements in your ObjectScript code, while Dynamic SQL enables you to execute dynamic SQL statements from ObjectScript at runtime. While static SQL queries offer predictable performance, dynamic and embedded SQL offer flexibility and integration, respectively.

Hello everyone

For those interested, here is an implementation example I used in one of my projects to interoperate with MongoDB using the pymongo package.

iris-mongodb

Interoperates with MongoDB (via pymongo package) with InterSystems IRIS (including outbound adapter)

Remember to import pymongo package.

We have released IPM 0.9.0. I previously remarked on some of the history and reasoning here; to summarize, this is a big release for two reasons: it represents a long-overdue reunification of our internal and community-driven work around IRIS-centric ObjectScript package management, and it has some backwards incompatibilities. There are several necessary backwards incompatibilities in our roadmap, and we've lumped them together; this will not be some new norm.