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#InterSystems IRIS

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InterSystems IRIS is a Complete Data Platform
InterSystems IRIS gives you everything you need to capture, share, understand, and act upon your organization’s most valuable asset – your data.
As a complete platform, InterSystems IRIS eliminates the need to integrate multiple development technologies. Applications require less code, fewer system resources, and less maintenance.

Join our next in-person Developer Meetup in Cambridge to explore the latest trends, tools, and features for innovating on data. This time we will dive into Building and Evaluating Agentic Generative Retrieval Systems.

Talk 1
Agentic Retrieval: Techniques beyond Vector Search
Speaker: Suprateem Banerjee, Sales Engineer - AI Specialist

Talk 2
Setting up testing frameworks to quantitatively measure improvements in agentic systems
This talk with cover how open source libraries such as langfuse and deepeval can be leveraged to see how improvements to prompts, llm models and tools change an agent / RAG system's performance. We will briefly cover how these systems work before delving into how they can be combined together.
Speaker: @Jayesh Gupta, Solutions Developer, InterSystems

>> Register here

⏱ Day and Time: July 9, 5:30 p.m. to 7:30 p.m.
NEW VENUE ALERT:
📍Amazon Boston Office, 55 Pier 4 Blvd, Boston, MA 02210

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I have a stream that I read out until the end. I then append more content to the stream and want to read out only what has been added. How do I only read out the new contents of the stream? Essentially, I want to read a stream, record the end position, then once the stream is updated read the contents from that recorded position until at the new end. This stream needs to be kept intact for historical reference so cannot be cleared between reads.

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For a long time I have wanted to learn the Django framework, but another more pressing project has always taken priority. Like many developers, I use python when it comes to machine learning, but when I first learned web programming PHP was still enjoying primacy, and so when it was time for me to pick up a new complicated framework for creating web applications to publish my machine learning work, I still turned to PHP.

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Hi Community,

I have created global with below values , now I want to iterate programatically.

^Book("Auto1","Properties","Color")="Red"
^Book("Auto1","Properties","Color1")="Yellow"
^Book("Auto1","Properties","Model")="SUV"
^Book("Auto2","Owner")="Prashanth"
^Book("Auto2","Properties","Color")="Green"
^Book("Color")="Red"
^Book("Color1")="Red"

i have used below method but only printing last2 elements properly

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IRIS supports CCDA and FHIR transformations out-of-the-box, yet the ability to access and view those features requires considerable setup time and product knowledge. The IRIS Interop DevTools application was designed to bridge that gap, allowing implementers to immediately jump in and view the built-in transformation capabilities of the product.

In addition to the IRIS XML, XPath, and CCDA Transformation environment, the Interop DevTools package now provides:

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Article
· May 29, 2025 8m read
Integrate with Google Forms

Google Forms is the most popular solution on the market for collecting data, answering questionnaires and quizzes. So, it is the ideal solution for collecting patient data and responses in a practical way, without the need to expand or develop systems. In this article, I will detail how to create an account on Google Cloud, register the application that will consume the Google Forms API, generate the service user necessary to consume the API and finally perform actions to create new forms and collect data filled in them in an automated way in embedded Python and IRIS.

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Profiling CCD Documents with LEAD North’s CCD Data Profiler
Ever opened a CCD and been greeted by a wall of tangled XML? You’re not alone. Despite being a core format for clinical data exchange, CCD's are notoriously dense, verbose, and unfriendly to the human eye. For developers and analysts trying to validate their structure or extract meaningful insights, navigating these documents can feel more like archaeology than engineering.

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Hi all!

I want to create an %Embedding.Config to use with an %Embedding property. I followed the documentation for %Embedding.OpenAI, and it works fine after setting sslConfig, modelName, and apiKey.

However, I need to use AzureOpenAI. While the embedding process is similar to OpenAI's, Azure requires additional connection parameters, like an endpoint.
My question is: is it possible to configure these extra parameters with %Embedding.Config, and if so, how?

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Have you ever needed to change an IP or port before deploying an interface to production? Needed to remove items from an export? What about modifying the value(s) in a lookup table before deploying? Have you wanted to disable an interface before deploying? What about adding a comment, category, or alert setting to an interface before deploying to production?

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Hi community.

I was wondering if it was possible to use something like EnsLib.SQL.InboundAdapter with tables in IRIS.

This library monitors when a record has been inserted into a table in an external database, so it requires a DSN to connect to that database.

My goal is to make a call to an external API that takes a long time, it could spend nearly an hour (or more) completing its processes, but I don't want to block the main process.

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My use case is I want AI to extract six pieces of key information from medical visit notes.

It works okay with notes from Epic patient portals. I am struggling with one of my own visit Summaries. So far I have not been able to instruct ollama to give me a JSON response where it gave me what I am asking for.

My original medical_progress_notes_prompt was:

Medical progress note:
---
(document)
---

You are an expert in analyzing medical progress notes. Please carefully read the provided progress note above and extract the following key information:

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Template engines are essential for producing customizable dynamic content, without the need for compilation and opening up great possibilities of extensibility for the template user. Especially if the template engine supports Python. A popular solution for template engine is Mko. It is is a template library written in Python. It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi.

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InterSystems Official
· May 21, 2025
InterSystems Platforms Update Q2-2025

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

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