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Problem

Do you resonate with this - A capability and impact of a technology being truly discovered when it's packaged in a right way to it's audience. Finest example would be, how the Generative AI took off when ChatGPT was put in the public for easy access and not when Transformers/RAG's capabilities were identified. At least a much higher usage came in, when the audience were empowered to explore the possibilities.

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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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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.

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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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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.

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Hello developers,

Our project was designed to optimize patient clinical outcomes by reducing hospitalization time and supporting the development of resident and novice physicians. Additionally, it contributes to lowering financial waste in the healthcare system by improving the monitoring of pregnant patients, thereby decreasing risks and enhancing their safety.

Using the most accessible tool, the smartphone, was the obvious choice to make patients' lives easier.

https://www.youtube.com/embed/OL3kdE-JL4c?si=HV6kopsNGJLCVSdl
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In Cache End of file throws error but in IRIS no indication of End of file. I have to do an explicit $ZOF. How are you handling/detecting End of File in IRIS?

In cache this line will throw End of file error - F PREC=1:1 U FILE R REC D SOMETHING

But in IRIS this goes to forever, has anyone noticed this behaviour in IRIS?

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Hello Community,

I have below issue -

I have an ID with 123456.(ID as a dynamic value coming from request message)

I wanted it to be displayed as "123456" in Json Stream.

Code Example:

set object = ##class(%ZEN.proxyObject).%New()

set object.ID = ID

set x = ##class(%ZEN.Auxiliary.jsonArrayProvider).%WriteJSONStreamFromObject(.json,object)

Case:1
ID : 123456

Will output:

{

"ID": 123456

}

but I need :

{

"ID": "123456"

}

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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\"

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Hi guys,

I try to make a test of encryption, decryption of a simple text.

I can crypt my text, but I can't decrypt it, do you see somewhere a dummy error of my part ?

Thanks for help

ClassMethod UnitTest()

{

set inputPlainText = "David"

// get private key

set privKeyFileName = "C:\temp\toto.pem"

set privobjCharFile = ##class(%Stream.FileCharacter).%New()

set privobjCharFile.Filename = privKeyFileName

set privKey = privobjCharFile.Read()

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The introduction of InterSystems' "Vector Search" marks a paradigm shift in data processing. This cutting-edge technology employs an embedding model to transform unstructured data, such as text, into structured vectors, resulting in significantly enhanced search capabilities. Inspired by this breakthrough, we've developed a specialized search engine tailored to companies.

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Announcement
· May 15
Documentation New Look

The InterSystems documentation new look is pretty awesome. The integrated pervious release documentation are single page is really useful.

Dark mode and collapse the side bar option is cool!

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Question
· May 14
dynaTree looping

Hi Guys

I'm using the below to populate a tree to just show the root with a folder icon but whenever I click on a folder it loops back to the original folder, how can I disable the root folder from expanding to the next, I only want to show the main opened root folder and not to go any further?

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Hi Community,

In this article, I will introduce my application iris-VectorLab along with step by step guide to performing vector operations.

IRIS-VectorLab is a web application that demonstrates the functionality of Vector Search with the help of embedded python. It leverages the functionality of the Python framework SentenceTransformers for state-of-the-art sentence embeddings.

Application Features

  • Text to Embeddings Translation.
  • VECTOR-typed Data Insertion.
  • View Vector Data
  • Perform Vector Search by using VECTOR_DOT_PRODUCT and VECTOR_COSINE functions.
  • Demonstrate the difference between normal and vector search
  • HuggingFace Text generation with the help of GPT2 LLM (Large Language Model) model and Hugging Face pipeline

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Hi Community,

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.

https://www.youtube.com/embed/bcu1gt0BDhY
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