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I need to check my HTTPS POST REQUEST, in order to do this I try to catch it by using wireshark.
I can't see anything because of the encryption.
I try unsuccefully to use the SSLKEYLOGFILE key (windows 11), but the generated file did not increase when I trigger my code OR postman, it grows only by the action of the web browser.
I need a way to securely store credentials in IRIS that are used to access third-party APIs. These credentials include different clientId/secret pairs that I don't want to expose. While I know that it's possible to define Production Credentials in Ens.Config.Credentials, I understand that they are stored in plain text.
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.
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:
I created a Dotnet api to connect with IRIS database to do some task. "InterSystems.Data.IRISClient.dll" (NativeAPI) is used in dotnet api to connect IRIS. I used following code in dotnet to open and close the IRIS connection.
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
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I created %ZSTART, having just learned about it. I included some minimal code to test it, as follows: %ZSTART SYSTEM WRITE "SYSTEM.",! QUIT JOB WRITE "JOB.",! QUIT LOGIN WRITE "LOGIN.",! QUIT CALLIN WRITE "CALLIN.",! QUIT
Now Terminal still works as normal, and sure enough I get "LOGIN" displayed, but when I start Studio I get an error message such as the following. I wonder what Caché ODBC has to do with it.
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.
I am trying to connect to Caché database from Azure data factory using ODBC connection. The aim is to read data from Caché and write it in Azure blob storage using copy activity. The ODBC connection is successful and i can see the Caché tables, but i'm facing an error while reading the table contents.
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.
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
If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package. The rating reflects the experience of the reviewer with the status found at the time of review. It is kind of a snapshot and might have changed meanwhile. Reviews by other members of the community are marked by * in the last column.
I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix. Some were accepted and merged, and some were just ignored. So if you made a major change and expect a changed review just let me know.
This is a detailed, candid walkthrough of the IRIS AI Studio platform. I speak out loud on my thoughts while trying different examples, some of which fail to deliver expected results - which I believe is a need for such a platform to explore different models, configurations and limitations. This will be helpful if you're interested in how to build 'Chat with PDF' or data recommendation systems using IRIS DB and LLM models.
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Current triage systems often rely on the experience of admitting physicians. This can lead to delays in care for some patients, especially when faced with inexperienced residents or non-critical symptoms. Additionally, it can result in unnecessary hospital admissions, straining resources and increasing healthcare costs.
ChatIRIS Health Coach, a GPT-4 based agent that leverages the Health Belief Model as a psychological framework to craft empathetic replies. This article elaborates on the backend architecture and its components, focusing on how InterSystems IRIS supports the system's functionality.
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.
Hi, I was working with %sStream.FileBynary and following the doc when I find an info that I'm not sure of. In the part of the doc where it talks about saving streams, it does not precise where it is saved. I tried to fill my stream, then rewind, then set the file and finally saved. And it puts in my default directory with the temporary name. If I do a zwrite of my stream, I get these properties about the file and directory. (StoreFile) = "zKc2m8v1.stream" (NormalizedDirectory) = "C:\InterSystems\Community\mgr\user\stream\"
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.
ChatIRIS Health Coach, a GPT-4 based agent that leverages the Health Belief Model (Hochbaum, Rosenstock, & Kegels, 1952) as a psychological framework to craft empathetic replies.