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Hi Community,

Let's meet at the online meetup with the winners of the AI Programming Contest: Vector Search, GenAI and AI Agents! It's a great opportunity to chat with the InterSystems Experts team and our contestants.

Winners' demo included!

Date & Time: Thursday, April 10, 12:00 pm EDT | 6:00 pm CEST

https://www.youtube.com/embed/wRuuKtYSU74?si=v0YREzoZ15gMqEz_
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Hello,

Our software commonly returns a full result set to the client and we use the DataTables plugin to display table data. This has worked well, but at datasets grow larger, we are trying to move some of these requests server-side so the server handles the bulk of the work rather than the client. This has had me scratching my head in so many ways.

I'm hoping I can get a mix of general best practice advice but also maybe some IRIS specific ideas.

Some background

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Been testing out the Production Validator toolkit, just to see what we can/not do with it. Seems really interesting and there seem to be some use cases for it that can really streamline some upgrades (or at least parts of upgrades) but I was running into so many hurdles with the documentation. I am curious if anyone else has used it.

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I ask ChatGPT periodically to produce ObjectScript or plain MUMPS code for string manipulation, or for implementing known algorithms etc. Occasionally, it does make mistakes or uses non-existing class members but generally not that bad. Is there any tutorial on the subject of using AI for coding, ideally specifically for ObjectScript/MUMPS? Any AI productivity advice, or tricks you are using, or another AI flavor?

Thanks in advance,
Anna

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We are receiving the report in text format and it has special characters like ', - like that in the text. Source system is using the UTF8 encoding format hence the text is showing as ' � ' . Is there a way to convert the utf8 to actual character in the DTL.

Thank you,

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Article
· Apr 1 1m read
IRIS-Intelligent Butler

# IRIS-Intelligent Butler
IRIS Intelligent Butler is an AI intelligent butler system built on the InterSystems IRIS data platform, aimed at providing users with comprehensive intelligent life and work assistance through data intelligence, automated decision-making, and natural interaction.
## Application scenarios
adding services, initializing configurations, etc. are currently being enriched
## Intelligent Butler

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For my hundredth article on the Developer Community, I wanted to present something practical, so here's a comprehensive implementation of the GPG Interoperability Adapter for InterSystems IRIS.

Every so often, I would encounter a request for some GPG support, so I had several code samples written for a while, and I thought to combine all of them and add missing GPG functionality for a fairly complete coverage. That said, this Business Operation primarily covers data actions, skipping management actions such as key generation, export, and retrieval as they are usually one-off and performed manually anyways. However, this implementation does support key imports for obvious reasons. Well, let's get into it.

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Question
· Mar 31
Task scheduler

Hi,

I've a list of running scheduled task in task manger and would to crate a tasks to monitor if any of my tasks has stopped running, is there a function to check tasks status?

Thanks

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Hi Community!

We know that every developer has small side projects — apps where you experiment with new technologies, test ideas before implementing them in bigger solutions, or just build something fun for the sake of curiosity. But what if one of those projects could take you all the way to the InterSystems READY 2025?

We’re launching a unique opportunity: show us your passion, creativity, and love for IRIS, and win a free pass to the InterSystems READY + hotel accommodation!

The rules are simple: upload your fun IRIS-based side project to Open Exchange, and record a short inspirational video about why you should be the one to get the pass to THE event of the year and win!

Duration: April 21 - May 04, 2025

Prizes: hotel accommodation and free passes to the InterSystems READY 2025!

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Article
· Mar 28 2m read
Reviews on Open Exchange - #50

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.
Some were accepted and merged, and some were just ignored.
So if you made a major change and expect a changed review just let me know.

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Hello,

One of our clients has a 'Notes' class with over 3 million records. We have a report that pulls data from this table that was taking about an hour to run. Our test environment (which has a copy of the production database) runs the same report query in 1 second.

We attempted to purge and rebuild indices which made an improvement (down to 15 minutes) but still not great.

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Is there a generic process for "walking" the structure of a virtual document - eg an HL7 message (EnsLib.HL7.Message) or an XML document (EnsLib.EDI.XML.Document).

At least we'd want to be able to visit all "nodes" (HL7 fields or sub-fields, XML nodes) in the virtual document and be able to work out/generate the Property Path (so we could call "GetValueAt").

We can just about come up with something generic for HL7, since it only nests down to 4 levels within each segment, though we're using numeric Property Path's at that point rather than symbolic ones (MSH:1.3 etc).

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Introduction

Database performance has become a critical success factor in a modern application environment. Therefore identifying and optimizing the most resource-intensive SQL queries is essential for guaranteeing a smooth user experience and maintaining application stability.

This article will explore a quick approach to analyzing SQL query execution statistics on an InterSystems IRIS instance to identify areas for optimization within a macro-application.

Rather than focusing on real-time monitoring, we will set up a system that collects and analyzes statistics pre-calculated by IRIS once an hour. This approach, while not enabling instantaneous monitoring, offers an excellent compromise between the wealth of data available and the simplicity of implementation.

We will use Grafana for data visualization and analysis, InfluxDB for time series storage, and Telegraf for metrics collection. These tools, recognized for their power and flexibility, will allow us to obtain a clear and exploitable view.

More specifically, we will detail the configuration of Telegraf to retrieve statistics. We will also set up the integration with InfluxDB for data storage and analysis, and create customized dashboards in Grafana. This will help us quickly identify queries requiring special attention.

To facilitate the orchestration and deployment of these various components, we will employ Docker.

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Hi

Is there a way to remote connect to IRIS terminal from my local machine?

I can remote connect to Studio & SMP from my locally windows installed IRIS cube to another IRIS installation in a Linux server, but not the case when trying to connect to the Terminal, is there a way to do so? I'm currently using ssh client but that one times out quickly

Thanks

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Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Embedded Python Best Practices and News @ Global Summit 2024

https://www.youtube.com/embed/HicTI-bRa8M
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Trying to start investigating an error we are seeing with multiple of the same messages getting sent to the same vendor. We receive an HL7 message with an RTF embedded from our EMR, send it through a DTL to just update the Patient Class, and then send it onto the Operation which is TCP.

We are starting to see this error message...

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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
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