Post that includes the step by step explanation of the technical feature or solution.
Despite the fact that LOCK (docs) is a foundational part of InterSystems IRIS, responsible for concurrency, there is not a lot of discussion on the Developer Community about it. Which is understandable, considering it's stable and fairly low-level command. In this article, I will show a simple example of how to use locks with interoperability.
Hi Community!
We’re building a series of short, hands-on Instruqt tutorials to help newcomers get up to speed with InterSystems technologies faster and more effectively. To kick things off, we’ve just released a new tutorial, “Data Models of InterSystems IRIS,” covering the fundamentals of the IRIS multimodel approach. This is exactly the type of focused, concise, practical learning experience we want to expand. And this is where you come in!
We’d love to hear your ideas for other tutorial topics to help developers new to InterSystems IRIS take their first steps with confidence.
Hi Community,
We're super excited to share that we launched another free, interactive tutorial designed to give you a little taste of InterSystems Data Studio.
🧑🏫 Introduction to InterSystems Data Studio 🧑💻
Hi Community,
We're super excited to share that we’ve just launched a new free, interactive tutorial designed especially for those who are new to InterSystems IRIS and looking for a clear, practical introduction to its core concepts.
🧑🏫 Data Models of InterSystems IRIS 🧑💻
I may have mentioned this before: I believe the Visual Traces, these sequence diagrams with full content of each step, are a fantastic feature of the IRIS Data platform! Detailed information about how the API works internally, as a visual trace, can be very useful for projects on the IRIS platform. Of course, this applies when we are not developing a high-load solution, in which case we simply don't have time for saving/reading messages. For all other cases, welcome to this tutorial!
One objective of vectorization is to render unstructured text more machine-usable. Vector embeddings accomplish this by encoding the semantics of text as high-dimensional numeric vectors, which can be employed by advanced search algorithms (normally an approximate nearest neighbor algorithm like Hierarchical Navigable Small World). This not only improves our ability to interact with unstructured text programmatically but makes it searchable by context and by meaning beyond what is captured literally by keyword.
In this article I will walk through a simple vector search implementation that Kwabena Ayim-Aboagye and I fleshed out using embedded python in InterSystems IRIS for Health. I'll also dive a bit into how to use embedded python and dynamic SQL generally, and how to take advantage of vector search features offered natively through IRIS.
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.