Here’s our Q2’2024 quarterly platforms update. If you’re new to these updates, welcome! This update aims to share recent changes as well as our best current knowledge on upcoming changes, but predicting the future is tricky business and this shouldn’t be considered a committed roadmap.

With that said, on to the update…

I want to customized retry frequency of transaction so that 503 error can be prevented while pushing FHIR bundle to the LFS.

How do I achieve this?

Reference the following algorithm to increase the retry interval of IRIS transaction

An exponential backoff algorithm retries requests exponentially, increasing the waiting time between retries up to a maximum backoff time. The following algorithm implements truncated exponential backoff with jitter:

Hi Community,

Let's meet at the online meetup with the winners of the Vector Search, GenAI and ML Contest. It's a great opportunity to chat with the InterSystems Experts team and our contestants.

Winners' demo included!

Date & Time: Thursday, May 23, 12 pm EDT | 6 pm CEST

https://www.youtube.com/embed/QNwFw1rE6jM?si=rK7Y1_UVdvXFzEHE
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Continuing with the series of articles on voice file management, we are going to see how we can convert text into audio and receive the file with the chosen voice.
We will also explore how a service from OpenAI can help us analyze a text and determine the mood expressed in it.
Let's analyze how you can create your own voice file and how it can “read” your feelings.

Just wonder if I could have some ways adding a percentage of weekly delta over the previous one on the top of each stacked bar in a bar chart widget like the one below.

Hi Team,

I am trying to use the inbuilt class: EnsLib.HL7.Service.FileService to pass through an HL7 ADT message as a part of an HL7 to FHIR transformation. We have a client requirement, where we are receiving an NTE segment as a part of the ADT message. I am trying to map the NTE segment to an OBX Segment. I need to implement a counter for OBX segment whenever a NTE segment is found and map the NTE fields to the new OBX segment

How do I implement the counter for OBX?

Thanks

Santosh

Hi Community,

It's voting time! Cast your votes for the best applications in our Vector Search, GenAI and ML Contest:

🔥 VOTE FOR THE BEST APPS 🔥

How to vote? Details below.

Hi Developers!

We are happy to present the bonuses page for the applications submitted to the Vector Search Programming Contest!

Hello Community,

I'm trying to execute the FHIR R4 profile validation and got the below error. How to fix this below error

http://localhost:52773/csp/healthshare/learn1/fhir/r4/Patient/$validate?profile=http://examples.com/fhir/StructureDefinition/aktestpatient|4.0.1

In the previous article, we saw in detail about Connectors, that let user upload their file and get it converted into embeddings and store it to IRIS DB. In this article, we'll explore different retrieval options that IRIS AI Studio offers - Semantic Search, Chat, Recommender and Similarity.

Considering new business interest in applying Generative-AI to local commercially sensitive private data and information, without exposure to public clouds. Like a match needs the energy of striking to ignite, the Tech lead new "activation energy" challenge is to reveal how investing in GPU hardware could support novel competitive capabilities. The capability can reveal the use-cases that provide new value and savings.

Sharpening this axe begins with a functional protocol for running LLMs on a local laptop.

DNA Similarity and Classification was developed as a REST API utilizing InterSystems Vector Search technology to investigate genetic similarities and efficiently classify DNA sequences. This is an application that utilizes artificial intelligence techniques, such as machine learning, enhanced by vector search capabilities, to classify genetic families and identify known similar DNAs from an unknown input DNA.

TL;DR

This article introduces using the langchain framework supported by IRIS for implementing a Q&A chatbot, focusing on Retrieval Augmented Generation (RAG). It explores how IRIS Vector Search within langchain-iris facilitates storage, retrieval, and semantic search of data, enabling precise and up-to-date responses to user queries. Through seamless integration and processes like indexing and retrieval/generation, RAG applications powered by IRIS enable the capabilities of GenAI systems for InterSystems developers.