#Generative AI (GenAI)

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Generative AI refers to algorithms and models in artificial intelligence that are capable of generating new data or content that is similar to existing data. These models are trained on large datasets and learn to generate new examples that mimic the patterns and characteristics of the original data.

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Article Lorenzo Scalese · Mar 23 9m read

Bringing Server-Sent Events to ObjectScript: Enabling AI Streaming

Introduction — The Problem with AI Streaming in ObjectScript

Today, I would like to introduce a problem I encountered and the solution I found when integrating AI APIs into an ObjectScript application. My initial tests were successful, yet somewhat frustrating.

The HTTP call worked; the request was properly sent to my LLM APIs. But then, silence... a long wait. Eventually, the entire response arrived as a single block.

Technically, it worked, but the user experience was disappointing compared to a ChatGPT session.

#InterSystems IRIS #API #ChatGPT #Generative AI (GenAI)
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Article Tani Frankel · Mar 26 1m read

2026.1 GenAI Data Transformation Highlight - DTL Explainer Feature

v2026.1 was just released as GA, and one of the features I'm looking forward to using is the DTL Explainer feature.

This allows you to take a Data Transformation, and with a click of a button get a human-readable description of the transformation (which you can also use as the basis for the DTL Description).

For complex DTLs, especially ones you didn't write yourself, or you did but a long time ago, this will allow you to get a clear quick understanding of what it's doing.

#InterSystems IRIS #InterSystems IRIS for Health #Health Connect #Artificial Intelligence (AI) #DTL #Generative AI (GenAI) #Interoperability #Release
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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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