Embeddings is a new IRIS feature empowering the latest capability in AI semantic search. This presents as a new kind of column on a table that holds vector data. The embedding column supports search for another existing column of the same table. As records are added or updated to the table, the supported column is passed through an AI model and the semantic signature is returned. This signature information is stored as the vector for future search comparison.
If you want to know if a class about a topic already exists asking a simple natural language question, it is possible now. Download and run the application https://openexchange.intersystems.com/package/langchain-iris-tool to know all about your project classes in a Chat.
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Are you using Jupyter Notebooks with IRIS? Are you using the vscode-iris-jupyter-server VS Code extension for your notebooking? If so, please let me know either via direct message or with a comment on this post. I'd like to hear more about how our customers are working with tool specifically, and with data science more generally.
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My query that I am running on my Custom SQL Inbound Service has columns that are larger than the typical string length. How do I enlarge the SQL Snapshot Column limitations
Given that Analyst property is defined as class object I'm getting the Analyst ID in the below dataBinding, but I'm looking to display the Analyst name, I tried using dataBinding="Analyst->Name" but no luck, I got the same issue when binding to dataCombo or comboBox ?
As I begin our adventure into using an External FHIR Repository, I wanted to see what opinions people have about a design Idea I was working on.
I want to create a way that my Team has the ability to send a Message Type, and the system knows from that Message Type which FHIR queries to execute and return the Response back to the user, sort of like a FHIR Query Hub. Does this sound reasonable?
Is there a programmatic method or specific property to differentiate system-defined (/csp/altelier , /api/mgmnt and so on) or user-defined web applications in IRIS?
I am trying to replicate a REST call that I am able to make via a Postman call within a EnsLib.REST.GenericOperation.
It's been a while since I have messed around with trying to make external REST calls. When I execute my REST call, tSC is coming back with an error and I am trying to pinpoint why. I tried turning on ISCLOG = 5 but when calling the REST Operation from the Testing tool it is not logging anything to the ISC log.
I'm currently testing out IRIS 2024.3 for a new project, and it's been running smooth for the most part. However, I noticed that when running some heavier analytical queries, the memory usage spikes more than I expected, even when result sets aren’t that large.
I’ve gone through the basics (buffer sizes, query plans, etc.), but I’m wondering if there are any new tweaks or recommended settings in 2024.3 specifically for managing memory better during these peak loads.
Anyone else run into something similar or have tips to fine-tune this?
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
See the Langchain IRIS Tool in action on YouTube. You can see IRIS metrics, discover classes, generate fake data, and so on. Project using Ollama, IRIS VectorDB, Streamlit and Langchain.
I have a class with a projection that creates some persistent classes (chunks) and a non-persistent "Daemon" class that I want to have running in the background, doing some processing. The daemon needs to look at the "chunk" classes, and I want it to be simple to start the daemon -- I am currently calling the daemon's start method at the end of the CreateProjection method.
We're excited to announce the first-ever UI update for CCR Client Tools. The Client Tools UI has been upgraded to match the modern CCR UI, aiming to create a more seamless experience across both applications. The color scheme, fonts, and style elements have all been updated accordingly in the new UI:
The "Ask Developer Community AI" tool is an excellent resource for studying for the certification. I asked it about each topic that will be covered in the test and the results are below. Note: I classified each answer by the assertiveness that I consider as good, average and bad.
Note 2: The article has 4 parts, each one for an exam area.
I already mentioned in a Previous post I am trying to build a list from a repeatable field within a HL7 message. I figured out how to build the list by using a context list string variable within the Business Process (BPL) and doing a
I have an old .NET 4.5 project, working with database InterSystems.Cache. The project is deployed on a Windows server. Data is retrieved using the InterSystems.Data.CacheClient.dll library.
But now I'm planning migration of the project to .NET 8 to container with linux centos.
How can I get data from InterSystems.Cache in this case?
As I understand it, InterSystems.Data.CacheClient.dll is only for the .NET framework.
On Encounter container we want to map some data from Z segments is that possible? Presently the mapping from HL7to SDA3 is taking place from HL7 defines segments . is there a way to push the data from Z segment.