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.

Hi Community,

I'm looking for someone who has already made data ingestion into IRIS (or Caché) from Pentaho Data Integration.

Thanks in advance.

Hi Community,

Here is a brief walkthrough on the capabilities of IRIS AI Studio platform. It covers one complete flow from loading data into IRIS DB as vector embeddings and retrieving information through 4 different channels (search, chat, recommender and similarity). In the latest release, added docker support for local installation and live version to explore.

https://www.youtube.com/embed/X1gzz3Qs2dw
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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()

InterSystems is pleased to announce the general availability of:

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.

Hi

How do I view the .int code of a compiled class in VS Code?

I am trying to use gj::Locate and the setup works, the explanation is all fine but when i paste an error from the Error Logs into the gj::locate it firstly tells me that it can't find the .cls and when I paste in the .int reference in the text box where you can specify the class, method, line+offset it replies that it can't find the item.

This is something to do with the objectscript extension rather than gj::locate

Nigel

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"

}

Hello,

I would like to propose you a challenge.

It has been created by a web user called "uttumuttu" and it is being explained here: https://www.codewars.com/kata/66314d6b7cb7030393dddf8a

Here is the proposed challenge copied and pasted:

DESCRIPTION:

This kata was created as a contender for the EPIC Challenge 2024.

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!

Hi. In a project I'm involved in I need to connect to a MongoDB database, read some data and store it in some internal table.

I'm wondering what's the best way to connect to MongoDB, as it seams to me there's no native Intersystems adapter.

Did anyone have handled such a scenario?

Thank you. Best regards

Davide Cecchetto