Customer support questions span structured data (orders, products 🗃️), unstructured knowledge (docs/FAQs 📚), and live systems (shipping updates 🚚). In this post we’ll ship a compact AI agent that handles all three—using:

• 🧠 Python + smolagents to orchestrate the agent’s “brain”
• 🧰 InterSystems IRIS for SQL, Vector Search (RAG), and Interoperability (a mock shipping status API)

In the world of APIs, REST is very extended. But what happens when you need more flexibility in your data-fetching strategies? For instance letting the client to choose what fields is going to receive. Enter GraphQL, a query language for your APIs that provides a flexible alternative to REST.

In this post, we will:

• Compare REST and GraphQL.
• Dive into the basics of GraphQL: Queries, Mutations, and HTTP.
• Build a simple GraphQL server implementation using Graphene, SQLAlchemy, and Flask over data in InterSystems IRIS.
• Explore how to deploy your GraphQL server as a WSGI application in IRIS.

We have a yummy dataset with recipes written by multiple Reddit users, however most of the information is free text as the title or description of a post. Let's find out how we can very easily load the dataset, extract some features and analyze it using features from OpenAI large language model within Embedded Python and the Langchain framework.

Hi all!

In a project we needed to define topics to publish messages and register different subscribers which will receive those messages asynchronously. We also needed it to be as simple as possible and that we could use it on InterSystems IRIS directly.

As an experiment, I'm sharing this iris-pubsub open exchange example.

Infrastructure

This is built on top of InterSystems IRIS interoperability features, it needs a running production.

Hi developers! have you ever implemented a DICOM integration? Maybe you have searched for an example, or even a simulator. Here you can find a example that may be useful.

DICOM is a message standard widely used in healthcare for diagnostic images.You can use DICOM standard in interoperability productions using both IRIS For Health and Health Connect, here you can find the documentation.

Hi Developers!
Let me share with you some exercises from a workshop about developing interoperability components in Java using PEX (Production EXtension).

You will find slides and step by step exercises about:

• Understanding simple PEX components coded in Java.
• Making some changes on them.

All built using containers, so you don't need to build a local Java environment.

Hi Community!

I'm sharing a little tool (REST service) to download interoperability messages from your browser.

You only need to:
1. Create a web application in Management Portal (e.g. /downloadmsg) and set DispatchClass=Util.DownloadMsg.
2. Call the tool using your browser passing the namespace and the message header id to download.
http://localhost:52773/downloadmsg/ns/mydev/msgid/17441

Would you like to be sure your data transforms work as expected with a single command? And what about writing unit tests for your data transforms in a quick and simple way?

When talking about interoperability, there are usually a lot of data transforms involved. Those data transforms are used to convert data between different systems or applications in your code, so they are running a very important job.

Attached code contains a very basic $system.WorkMgr example.

It uses several jobs (workers) to update different chunks of rows of a table.

Steps:

• Creates a table with 100 records.
• Split table in chunks
• Initialize WorkMgr and queue chunks to workers.
  • Every worker simply sets its process number in the Job field of the processed row.

In this case, I have tested the example in a 8-core laptop: