Nowadays so much noise around LLM, AI, and so on. Vector databases are kind of a part of it, and already many different realizations for the support in the world outside of IRIS.

Why Vector?

  • Similarity Search: Vectors allow for efficient similarity search, such as finding the most similar items or documents in a dataset. Traditional relational databases are designed for exact match searches, which are not suitable for tasks like image or text similarity search.
  • Flexibility: Vector representations are versatile and can be derived from various data types, such as text (via embeddings like Word2Vec, BERT), images (via deep learning models), and more.
  • Cross-Modal Searches: Vectors enable searching across different data modalities. For instance, given a vector representation of an image, one can search for similar images or related texts in a multimodal database.

And many other reasons.

So, for this pyhon contest, I decided to try to implement this support. And unfortunately I did not manage to finish it in time, below I'll explain why.

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Hi all, I have released the latest version of VSCode extension for ObjectScript already a month ago, and finally a time for the info about this new release.

So, what's new in the release:

What's new in this version

  • added export setting "objectscript.export.addCategory" if enabled uses the previous behaviour, adds category folder to export folder, disabled by default
  • added Server actions menu, by clicking on server info from status bar. Open Management portal, Class Reference and toggle connection.
  • Class Suggestion in ##class, Extends, As, CompileAfter, DependsOn, PropertyClass
  • $SYSTEM suggestion by Classes from %SYSTEM
  • Import and compile folder or file by context menu in File Explorer
  • Server Explorer, now possible to open any other namespace
  • Macros suggestion

For details how it works now, look further.

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Hey Developers,

Don't miss the new exciting promo video from our Brazilian developers on InterSystems Developers YouTube:

🍿 Promo video + Screencast for No Project Mess By IRIS

https://www.youtube.com/embed/gyvpdnPkV5c
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Article
· Nov 4, 2022 9m read
VIP in AWS

If you're running IRIS in a mirrored configuration for HA in AWS, the question of providing a Mirror VIP (Virtual IP) becomes relevant. Virtual IP offers a way for downstream systems to interact with IRIS using one IP address. Even when a failover happens, downstream systems can reconnect to the same IP address and continue working.

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Introduction

This is a simple tutorial on the quickest way I found to create a sample database for any purposes such as testing, making samples for tutorials, etc.

Creating a namespace

  1. Open the terminal
  2. Write the command "D $SYSTEM.SQL.Shell()"
  3. Write "CREATE DATABASE " and the name you want for your namespace.

Now you have a new namespace in a faster way than creating it from the Management Portal - which of course offers way more configuration options.

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Updated Jan 19th, 2023.

Hi all,

I want to share a quick little method you can use to enable ssl with a self signed certificate on your local development instance of IRIS/HealthShare. This enables you to test https-specific features such as OAuth without a huge lift.

1. Install OpenSSL

Windows     : Download from https://www.openssl.org or other built OpenSSL Binary. 

Debian Linux: $ sudo apt-get -y install openssl

RHEL        : $ sudo yum install openssl
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Article
· Jun 12 3m read
LangChain fixed the SQL for me

This article is a simple quick starter (what I did was) with SqlDatabaseChain.

Hope this ignites some interest.

Many thanks to:

sqlalchemy-iris author @Dmitry Maslennikov

Your project made this possible today.

The article script uses openai API so caution not to share table information and records externally, that you didn't intend to.

A local model could be plugged in , instead if needed.

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Some changes in IRIS configuration require a restart of IRIS.
This is no big issue as long as I have access to the server command line with sufficient privileges.

In a container, this is not always given.
Stopping IRIS from the terminal/session prompt is no problem.
But the restart after is.

Note1: container start-stop is no option as it might be removed by option --rm in docker run
Note2: the target is linux (manly in docker). Windows is excluded

GitHub

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Foreword

InterSystems IRIS versions 2022.2 and newer feature the ability to authenticate to a REST API using JSON web tokens (JWTs). This feature enhances security by limiting where and how often passwords transfer over the network in addition to setting an expiration time on access.

The goal of this article is to serve as a tutorial on how to implement a mock REST API using InterSystems IRIS and lock access to it behind JWTs.

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The last time that I created a playground for experimenting with machine learning using Apache Spark and an InterSystems data platform, see Machine Learning with Spark and Caché, I installed and configured everything directly on my laptop: Caché, Python, Apache Spark, Java, some Hadoop libraries, to name a few. It required some effort, but eventually it worked.

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Discussion
· Nov 10, 2020
Why change?

I have already asked a question about migrating an Oracle database to Caché, and I was promptly answered. Now, I have one more question, however it is more conceptual. In general, any tool defends its benefits, and looking at Caché's, among many, there is a lot of talk about speed. The question is, if I already have a database, and at the moment, its performance is not a problem, I would like to know what else could influence the change of this database? Remembering that it is functional and without any apparent problem.

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Hey Developers,

This week is a voting week for the InterSystems Analytics Contest! So, it's time to give your vote to the best solutions built with InterSystems IRIS.

🔥 You decide: VOTING IS HERE 🔥

How to vote?

Please meet the new voting engine and algorithm for the Experts and Community nomination:

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Continuing the description of work on the use of the openhl python module in productive mode.

Since the version of iris with Embedded Python, does not yet have a final release, it is already necessary to use it in production now. We decided to back up the service for exporting requests to a xlsx file on a separate server, and save the query result in a global in a separate database.

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It has been asked a few times recently, how one can make Laravel Framework work with InterSystems IRIS Data Platform. It's been a while since this post about Laravel and InterSystems Caché was published. To bring it up to date, the article gives a brief instruction set on how to setup and configure a Laravel project for use with InterSystems IRIS through ODBC.

What is Laravel?

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