InterSystems Official Dominic Chui · Mar 9

IPM Version 0.10.6 Release Notes

IPM version 0.10.6 was released on February 24th, 2026. This version is mostly bug fixes, but does add the -export-python-deps flag to the package and publish  commands to include Python dependencies with the IPM module itself. As usual, you can check it out on the GitHub page or through the Community Registry. 

Here's the complete changelog:

Added

  • #1024: Added flag -export-python-deps to publish command

Fixed

  • #996: Ensure COS commands execute in exec under a dedicated, isolated context
  • #1002: When listing configured repositories, only show the TokenAuthMethod when a token is defined.
#InterSystems IRIS #InterSystems IRIS for Health #InterSystems Official #InterSystems Package Manager (IPM)
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Article Luis Angel Pérez Ramos · Mar 11 14m read

Implementing openEHR with IRIS for Health

Does your blood run cold when you hear about openEHR? Do archetypes give you goosebumps?

Overcome your fears with this article and master OpenEHR using the capabilities of InterSystems IRIS for Health!

What is openEHR?

openEHR is an open, vendor-neutral specification designed to represent, store, and exchange clinical information in a semantically rich and long-term sustainable way. Instead of defining fixed message structures (as many interoperability standards do) OpenEHR separates clinical knowledge from technical implementation through a multi-layered modelling approach.

#InterSystems IRIS for Health #Tutorial
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Article Emil Polakiewicz · Mar 10 19m read

Step-by-Step Guide: Setting Up RAG for Gen AI Agents Using IRIS Vector DB in Python

How to set up RAG for OpenAI agents using IRIS Vector DB in Python

In this article, I’ll walk you through an example of using InterSystems IRIS Vector DB to store embeddings and integrate them with an OpenAI agent.

To demonstrate this, we’ll create an OpenAI agent with knowledge of InterSystems technology. We’ll achieve this by storing embeddings of some InterSystems documentation in IRIS and then using IRIS vector search to retrieve relevant content—enabling a Retrieval-Augmented Generation (RAG) workflow.

Note: Section 1 details how process text into embeddings.

#InterSystems IRIS #API #Business Service #Generative AI (GenAI) #Python #SQL #Vector Search
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