#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 Alex Woodhead · Jul 1, 2025 3m read

Portuguese on Pattern Match Work Bench and other improvements

Thank you community for translating an earlier article into Portuguese.
Am returning the favor with a new release of Pattern Match Workbench demo app.

Added support for Portuguese.

The labels, buttons, feedback messages and help-text for user interface are updated.

Pattern Descriptions can be requested for the new language.

The single AI Model for transforming user prompt into Pattern match code was fully retrained.

 

Values to Pattern Code Model also retrained

The separate AI model for generating Pattern match code from a sample list of values has been retrained.

#InterSystems IRIS #Artificial Intelligence (AI) #Generative AI (GenAI) #Large Language Model (LLM) #Machine Learning (ML)
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Announcement Tomo Okuyama · Aug 28, 2025

[Demo Video] Autonomous Business intelligent Clerk (ABiC) - Combining InterSystems BI and Generative AI

#InterSystems Demo Games entry

⏯️ Autonomous Business Intelligent Clerk (ABiC) - Combining InterSystems BI and Generative AI

Our Autonomous Business Intelligent Clerk, or ABiC for short, is a prototype revolutionizing how companies process data and make decisions. Normally, to get insights from data, you’d need IT knowledge or expertise in statistics. But with ABiC, that’s no longer necessary. All you have to do is ask your question in plain language. ABiC understands your interests and intentions, then shows a clear dashboard to guide your decisions. With ABiC, complex data is autonomously analyzed and turned into answers that support users, helping to accelerate business processes. This demo sends the metadata of InterSystems BI cubes to LLM. How does it work? Check out the video for more details!

Presenters:
🗣 @Tomo Okuyama, Sales Engineer, InterSystems
🗣 @Nobuyuki Hata, Sales Engineer, InterSystems
🗣 @Tomoko Furuzono, Sales Engineer, InterSystems
🗣 @Mihoko Iijima, Training Sales Engineer, InterSystems

#InterSystems IRIS BI (DeepSee) #Artificial Intelligence (AI) #Generative AI (GenAI) #InterSystems Demo Games #Video
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Article Alex Woodhead · Sep 13, 2025 4m read

Plug-N-Play on Pattern Match WorkBench

Plug-N-Play on Pattern Match WorkBench

Article to announce pre-built pattern expressions are available from demo application.

AI deducing patterns require ten and more sample values to get warmed up.

The entry of a single value for a pattern has therefore been repurposed for retrieving pre-built patterns.

Example: Email address

Paste an sample value for example an email address in description and press "Pattern from Description".

The sample is tested against available built-in patterns and any matching patterns and descriptions are displayed.

Patterns can also be retrieved by Keyword.

#InterSystems IRIS #Artificial Intelligence (AI) #Generative AI (GenAI) #Large Language Model (LLM) #Machine Learning (ML)
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Article sween · Nov 20, 2025 5m read

OMOP Odyssey - Vibing Synthea Modules for OMOP

Vibe the Module, Not the Data


While working with the FHIR to OMOP Service, I've seen good FHIR synthetic data being created using commercial LLM's etc, custom tailored for ConditionOnset with the typical amazement on return, but witnessed some questionable trust first hand on a call.  This approach also falls short generating gigantic payloads so I can go back to my interests on the backend and ensure smooth data transition.

#InterSystems IRIS for Health #Databases #FHIR #Generative AI (GenAI) #Prompt Engineering
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Discussion Benjamin De Boe · Oct 29, 2025

Survey on IRIS Vector Search usage

Hi, 

We very much appreciate the interest in the Developer Community for IRIS Vector Search and hope our technology has helped many of you build innovative applications or advanced your R&D efforts. With a dedicated index, integrated embeddings generation, and deep integration with our SQL engine now available in InterSystems IRIS, we're looking at the next frontier, and would love to hear your feedback on the technology to prioritize our investments.

#InterSystems IRIS #Generative AI (GenAI) #Vector Search
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Discussion Benjamin De Boe · Dec 4, 2025

How do you like to build your AI solutions with InterSystems IRIS?

Hi,

We're working on new capabilities to help you build Agents and AI applications faster with InterSystems IRIS. In order to better understand which entry points and development methodologies would help you most, we've created this brief survey: Building AI solutions with InterSystems IRIS. 

Filling it in should not take much more than 5 minutes, and your feedback on this exciting topic will help us fine tune our designs and prioritize the right features.

Thanks in advance!
benjamin
 

#InterSystems IRIS #InterSystems IRIS for Health #Artificial Intelligence (AI) #Generative AI (GenAI) #Large Language Model (LLM)
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Discussion Yuri Marx · Oct 12, 2025

Data quality is the main piece to get assertive AI responses?

This anthropic article made me think of several InterSystems presentations and articles on the topic of data quality for AI applications. InterSystems is right that data quality is crucial for AI, but I imagined there would be room for small errors, but this study suggests otherwise. That small errors can lead to big hallucinations. What do you think of this? And how can InterSystems technology help?

https://www.anthropic.com/research/small-samples-poison

#InterSystems IRIS #Artificial Intelligence (AI) #Generative AI (GenAI)
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Article Emil Polakiewicz · Dec 8, 2025 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 #Internal Tech Article Contest #API #Business Service #Generative AI (GenAI) #Python #SQL #Vector Search
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Article Mihoko Iijima · Jan 31 31m read

Similar in Meaning, Opposite in Logic? - A Practical Workflow to Complement Vector Search with LLMs

Vector search is a retrieval method that converts text, images, audio, and other data into numeric vectors using an AI model, and then searches for items that are semantically close. It enables “semantic similarity search” from free text, which is difficult with keyword search alone.

However, in real use, I encountered cases where results that are “close in meaning” but logically the opposite appeared near the top of the search results.

This is a serious issue in situations where affirmation vs. negation matters. If the system returns the wrong answer, the impact can be significant, so we cannot ignore this problem.

This article does not propose a new algorithm. I wrote it to share a practical way I found useful when semantic search fails due to negation.

 

#Internal Tech Article Contest #Embedded Python #Generative AI (GenAI) #Large Language Model (LLM) #Python #SQL #Vector Search
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Article Suprateem Banerjee · Jan 25 14m read

IRIS Agents: Building Agents on IRIS!

 

Ever since I started using IRIS, I have wondered if we could create agents on IRIS. It seemed obvious: we have an Interoperability GUI that can trace messages, we have an underlying object database that can store SQL, Vectors and even Base64 images. We currently have a Python SDK that allows us to interface with the platform using Python, but not particularly optimized for developing agentic workflows. This was my attempt to create a Python SDK that can leverage several parts of IRIS to support development of agentic systems.

#Internal Tech Article Contest #Artificial Intelligence (AI) #Business Process (BPL) #Generative AI (GenAI) #Large Language Model (LLM) #ObjectScript #Python #SQL
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Article Gabriel Ing · Jan 16 5m read

Building a Medical History Chatbot - FHIR, Vector Search and RAG for beginners

Introduction

Earlier this year, I set about creating kit to introduce young techy folk at a Health Tech hackathon to using InterSystems IRIS for health, particularly focusing on using FHIR and vector search.

I wanted to publish this to the developer community because the tutorials included in the kit make a great introduction to using FHIR and to building a basic RAG system in IRIS.

#Internal Tech Article Contest #Beginner #FHIR #Generative AI (GenAI) #Python #Tutorial
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