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 deployed an IRIS REST application using Installer class. I think I created the namespace FEEDER database with %DB_Default resource and I used the same resource in Web Application roles. I allowed Unauthenticated Authentication method. I used ^%ISCLOG and reviewed ^ISCLOG. I do not understand why I get 403 Forbidden response.
What I find really useful about IRIS when teaching my subject of Postrelational databases is the fact that it is a multi model database. Which means that I can actually go into architecture and structure and all that only once but then show the usage of different models (like object, document, hierarchy) using the same language and approach. And it is not a huge leap to go from an object oriented programming language (like C#, Java etc) to an object oriented database.
However, along with advantages (which are many) come some drawbacks when we switch from object oriented model to relational. When I say that you can get access to the same data using different models I need to also explain how it is possible to work with lists and arrays from object model in relational table. With arrays it is very simple - by default they are represented as separate tables and that's the end of it. With lists - it's harder because by default it's a string. But one still wants to do something about it without damaging the structure and making this list unreadable in the object model.
So in this article I will showcase a couple of predicates and a function that are useful when working with lists, and not just as fields.
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Does %OSCertificateStore only check the trusted root folder in windows?
Can it be used for Personal store on servers or is there another condition can be used?
Used it for a first time and writing a function to check specific ones being used for expiry but had one this week that was to be installed in personal rather than the trusted root and didn't know if stating OSCertificateStore or a url otherwise to look in the personal installed certs on the server could be used instead so stuck with the original way (which can get confusing)
You can learn a lot from a first impression; we want to hear about yours.
As a continuation of our User Insights Interview program (see this post for more details), we’re expanding our scope to include Python developers, particularly those of you who are new to working with InterSystems technology. We’re looking to conduct one-on-one interviews to hear your honest thoughts about getting started: What made sense, what didn’t, and where we could improve.
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.
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.
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.
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.
Trying to start investigating an error we are seeing with multiple of the same messages getting sent to the same vendor. We receive an HL7 message with an RTF embedded from our EMR, send it through a DTL to just update the Patient Class, and then send it onto the Operation which is TCP.
I want to create a scheduler to montor the status of list of backend jobs ( say limit is 10). there going to be job queue. Need to pick a job form job queue when one of the current processing job is finished. What is the best way to implement this
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Hello and welcome to the Developer Ecosystem News!
The first quarter of the year was full of exciting activities in the InterSystems Developer Ecosystem. In case you missed something, we've prepared a selection of the hottest news and topics for you to catch up on!
This guideline provides an overview of how to design and implement a REST API interface for querying patient demographic data from an Electronic Patient Record (EPR) system using HealthConnect. The process involves sending a query request with the patient's identification number, retrieving the response from the EPR system, extracting the required patient demographic data from the HL7 message, and sending it as a JSON response to the supplier. The high-level process diagram is shown below (Screenshot 1).
In this article, I will introduce my application iris-AgenticAI .
The rise of agentic AI marks a transformative leap in how artificial intelligence interacts with the world—moving beyond static responses to dynamic, goal-driven problem-solving. Powered by OpenAI’s Agentic SDK , The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. This application showcases the next generation of autonomous AI systems capable of reasoning, collaborating, and executing complex tasks with human-like adaptability.
Application Features
Agent Loop 🔄 A built-in loop that autonomously manages tool execution, sends results back to the LLM, and iterates until task completion.
Python-First 🐍 Leverage native Python syntax (decorators, generators, etc.) to orchestrate and chain agents without external DSLs.
Handoffs 🤝 Seamlessly coordinate multi-agent workflows by delegating tasks between specialized agents.
Function Tools ⚒️ Decorate any Python function with @tool to instantly integrate it into the agent’s toolkit.
Vector Search (RAG) 🧠 Native integration of vector store (IRIS) for RAG retrieval.
Tracing 🔍 Built-in tracing to visualize, debug, and monitor agent workflows in real time (think LangSmith alternatives).
MCP Servers 🌐 Support for Model Context Protocol (MCP) via stdio and HTTP, enabling cross-process agent communication.
Chainlit UI 🖥️ Integrated Chainlit framework for building interactive chat interfaces with minimal code.
Stateful Memory 🧠 Preserve chat history, context, and agent state across sessions for continuity and long-running tasks.
Not sure what I'm missing here, I'm using to download files that starts with MTC_88 from S3 bucket using AmazonS3 inboundAdapter as below, but I'm not getting anything and I'm sure there thousands of files that starts with MTC_88
# IRIS-Intelligent Butler IRIS Intelligent Butler is an AI intelligent butler system built on the InterSystems IRIS data platform, aimed at providing users with comprehensive intelligent life and work assistance through data intelligence, automated decision-making, and natural interaction. ## Application scenarios adding services, initializing configurations, etc. are currently being enriched ## Intelligent Butler
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.