Hello and welcome to the October 2023 Developer Community Newsletter.
General Stats
154 new posts published in October:
25 new articles
39 new announcements
85 new questions
5 new discussions
234 new members joined in October
12,229 posts published all time
10,555 members joined all time
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Hello and welcome to the September 2023 Developer Community Newsletter.
General Stats
161 new posts published in September:
35 new articles
40 new announcements
78 new questions
8 new discussions
217 new members joined in September
12,075 posts published all time
10,343 members joined all time
0 0
0 109
9 4
1 412
Article
· Jan 25, 2016 1m read
2016.2 Field Test

I am pleased to announce the field test of Caché and Ensemble 2016.2 - an exciting new release with improvements on many different fronts.

The entire product team at InterSystems looks forward to your participation in the field test and feedback over the coming months.

Some of the more profound changes in 2016.2 include:

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Contestant

Introduction

In the modern digital age, securing applications, particularly those handling sensitive health data, is paramount. The confidentiality, integrity, and availability of such data are crucial, necessitating robust security measures. Two-factor authentication (2FA) stands out as a critical enhancement in safeguarding access, adding an extra layer of security beyond just passwords. Recognizing the significance of this feature, InterSystems provides built-in support for 2FA in its database solutions. This tutorial aims to guide you through the process of configuring two-factor authentication in your InterSystems environment, ensuring that your data remains secure and accessible only to authorized users.

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We all know that having a set of proper test data before deploying an application to production is crucial for ensuring its reliability and performance. It allows to simulate real-world scenarios and identify potential issues or bugs before they impact end-users. Moreover, testing with representative data sets allows to optimize performance, identify bottlenecks, and fine-tune algorithms or processes as needed. Ultimately, having a comprehensive set of test data helps to deliver a higher quality product, reducing the likelihood of post-production issues and enhancing the overall user experience.

In this article, let's look at how one can use generative AI, namely Gemini by Google, to generate (hopefully) meaningful data for the properties of multiple objects. To do this, I will use the RESTful service to generate data in a JSON format and then use the received data to create objects.

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What is Unstructured Data?
Unstructured data refers to information lacking a predefined data model or organization. In contrast to structured data found in databases with clear structures (e.g., tables and fields), unstructured data lacks a fixed schema. This type of data includes text, images, videos, audio files, social media posts, emails, and more.

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Question
· 11 hr ago
Empty export file

Has anyone experienced exporting a deployment file and when deploying it, it is empty?

IRIS for UNIX (Red Hat Enterprise Linux for x86-64) 2021.1 (Build 215_0_21129U) Wed Sep 29 2021 10:10:37 EDT [HealthConnect:3.3.0] [HealthConnect:3.3.0]

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Using VECTOR_COSINE() in SQL query to perform a text similarity search on existing embeddings in a %VECTOR column.

Code is below.

Commented out sql query returns this error: SQLCODE: -29 Field 'NEW_EMBEDDING_STR' not found in the applicable tables^ SELECT TOP ? maxID , activity , outcome FROMMain .AITest ORDER BY VECTOR_COSINE ( new_embedding_str ,

Sql query as written returns ERROR #5002: ObjectScript error: <PYTHON EXCEPTION> *<class 'OSError'>: isc_stdout_write: PyArg_ParseTuple failed!

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