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

In our previous article we presented the general concepts as well as the problem that we wanted to solve by using the task engine integrated in InterSystems IRIS, in today's article we will see how we configure an interoperability production to provide a solution.

Workflow Engine Configuration

First we are going to define the roles of the tasks that we are going to manage, in our example we are going to define two types:

It's not clear to me, when using the InterSystems Container Repository, which version is the best / most recent non-preview Community Edition version to use.

I see lots of 2023.2.x versions, a single 2023.3 and 2024.1 version, but also a latest-cd and latest-em (with no explanation as to what cd and em mean).

I assume the trick is to use one of the latest-xx ones? If so, which?

Unfortunately I haven't been able to find any explanatory information anywhere about the nomenclature conventions used.

Many thanks

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.

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.

Hey Developers,

Watch the latest video on InterSystems Developers YouTube:

⏯ Understanding HL7 FHIR Profiles

https://www.youtube.com/embed/zmtIpvG6Wcg
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

hi there,

I recently created a shell script to run the integrity check.

I used this as reference - Introduction | InterSystems IRIS Data Platform 2023.3

I found the example from above url having a line - "

kill ^IRIS.TempIntegrityOutput(+$job)

it isn't working when I used in a script. it returns the pid of my iris session instead.

Hello Community,

I'm trying to load a file by execute this LOAD DATA SQL command in both studio and SQL-SMP I got the below error.

#Mapping
@Jenna Poindexter
@Ashok Kumar
@AndreClaude Gendron
@Saul Bloom

Hi Guys

Two of the HC servers I manage (a mirrored pair) have lost the ability to debug code, and I am unsure as to why this has happened. Clearly something has changed, as the other three are working just fine.

When I select a Class Method as debug target, add a few break points and run it, I get the following Output

Can any one tell me the difference between %KillExtent and %DeleteExtent with example

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ Clinica Universidad de Navarra - Low on Budget High on Innovation @ Global Summit 2023

https://www.youtube.com/embed/Yyb_I80oJF0
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

there is a setting in VSCode "objectscript.export: {noStorage: ture} " allow export cls from server to client, without storage definition.

However, wheneven I complied and save cls in my vscode client, the storage definition was added back. If I don't want it, I have to deleted the part manually.

Does anyone have something to teach me? thank you