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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
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Hi Community! Here is a digest of the Most Noticed InterSystems Developer Community Articles for 2019. Please welcome!
Most viewed

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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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In the previous article, we saw different modules in IRIS AI Studio and how it could help explore GenAI capabilities out of IRIS DB seamlessly, even for a non-technical stakeholder. In this article, we will deep dive into "Connectors" module, the one that enables users to seamlessly load data from local or cloud sources (AWS S3, Airtable, Azure Blob) into IRIS DB as vector embeddings, by also configuring embedding settings like model and dimensions.

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Article
· 46 min ago 2m read
Retrieve images using vector search (2)

您需要先安装应用程序。如果未安装，请参考上一篇文章

应用演示

成功运行 iris-image-vector-search 应用程序后，由于数据未在库中初始化，因此需要存储一些数据以支持图像检索。

图像存储

首先，拖放图片或点击上传图标，选择图片，点击上传按钮进行上传和矢量化。这个过程可能有点慢。

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Hello,

I would like you to propose this challenge.

It has been created by the CodeWars community here: https://www.codewars.com/kata/6523a71df7666800170a1954/python

I will copy and paste the description:

🔡🟢 DESCRIPTION:

A number is Esthetic if, in any base from base2 up to base10, the absolute difference between every pair of its adjacent digits is constantly equal to 1.

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Hi Community,

In this article, I will introduce my application iris-image-vector-search.
The image vector retrieval demo uses IRIS Embedded Python and OpenAI CLIP model to convert images into 512 dimensional vector data. Through the new feature of Vector Search, VECTOR-COSINE is used to calculate similarity and display high similarity images.

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