#Business Service

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A business service is part of InterSystems Ensemble interoperability production which is responsible for accepting requests from external applications.

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Article Andrew Sklyarov · Mar 14 6m read

How to add your APIs to the Interoperability Production

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!

#InterSystems IRIS #InterSystems IRIS for Health #Other #Business Service #Interoperability #REST API #Swagger #Tutorial
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Question Scott Roth · Mar 10

%SYS.Task.Definition to kick off Ens.BusinessService using EnsLib.SQL.InboundAdapter

How can I create a Task that tells a Ens.BusinessService to execute its SQL query using the EnsLib.SQL.InboundAdapter?

So far I have come up with

Class OSU.Workday.TerminationsTask Extends %SYS.Task.Definition
{

Parameter TaskName As STRING = "OSU - Workday Termination Update";

Method OnTask() As %Status
{
    try{
        // Call BusinessService
        set tSC = ##class(Ens.Director).CreateBusinessService("OSU.DataSource.Workday.TermService",.tService)

        if $IsObject(tService){
            set inputMessage = ##class(Ens.StringContainer).
#HealthShare #InterSystems IRIS for Health #Health Connect #InterSystems IRIS #Business Service #JDBC #ObjectScript #SQL #System Administration
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Article Emil Polakiewicz · Mar 10 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 #API #Business Service #Generative AI (GenAI) #Python #SQL #Vector Search
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