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Introduction

In the modern digital age, securing applications, particularly those handling sensitive health data, is paramount. The confidentiality, integrity, and availability of such data are crucial, necessitating robust security measures. Two-factor authentication (2FA) stands out as a critical enhancement in safeguarding access, adding an extra layer of security beyond just passwords. Recognizing the significance of this feature, InterSystems provides built-in support for 2FA in its database solutions. This tutorial aims to guide you through the process of configuring two-factor authentication in your InterSystems environment, ensuring that your data remains secure and accessible only to authorized users.

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I built my rest api with ^%REST and update with CreateApplication.
Postman works fine and I suppose production server will work fine as UI and rest api will be on the same domain, but for now in dev, I need to have access from my local to the Iris rest api. I have a CORS error.

I do not know how to configure my swagger file to have either Parameter HandleCorsRequest=1 or <route Cors=true in the generated displ,cls.

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What is Unstructured Data?
Unstructured data refers to information lacking a predefined data model or organization. In contrast to structured data found in databases with clear structures (e.g., tables and fields), unstructured data lacks a fixed schema. This type of data includes text, images, videos, audio files, social media posts, emails, and more.

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As you have seen in the latest community publications, InterSystems IRIS has included since version 2024.1 the possibility of including vector data types in its database and based on this type of data vector searches have been implemented. Well, these new features reminded me of the article I published a while ago that was based on facial recognition using Embedded Python.

Open Exchange app
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Attempting to setup an outbound (I'm querying out, not querying the IRIS db) SQL connection. I am connecting to a PostgreSQL database, name "hl7interface".

I have setup the odbc.ini file at /usr/local/etc with the following contents:

[HL7Interface2]
Driver = PostgreSQL
Description = HL7 Interface DB
Servername = localhost
Port = 5432
Protocol = 7.4-1
#userName = postgres
#Password = <real pw here>
Database = hl7interface
ReadOnly = no
ServerType = Postgres

I have set the /etc/odbcinst.ini file with the location of the PostgreSQL driver:

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Hey Developers,

Watch the latest video on InterSystems Developers YouTube:

⏯ What is the HL7 FHIR Specification

https://www.youtube.com/embed/LQ9_itHr_Pc
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Hi Developers,

Join us at the upcoming Developer Roundtable on March 26th at 11 am ET | 4 pm CET. 📍
We will have 2 topics covered by the invited experts and open discussion as always!

Talks:

➡ Demo on Documenting and Testing REST Call's by generating documentation and making scenario's for integration tests - presented by @Danny Wijnschenk , Application Developer, Winfo.

Danny is an independent developer based in Belgium, specialized in InterSystems Caché and IRIS. He has customers in both the healthcare and non-healthcare sectors.

➡ Cypress for web application testing - presented by @Pravin Barton , Senior Applications Developer, InterSystems

▶ Update: watch the recording of the roundtable below.

https://www.youtube.com/embed/2NeWf-Y8Cuk
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I'm excited to let you know that we at George James Software have released some new VS Code training courses. Following the success of our Basics course we have expanded our offering to help InterSystems users looking to move to VS Code improve their knowledge.

Here's what's on offer...
Studio to VS Code Migration - The Basics (2.5 hours)

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Hello Community,

I'd like to share with you our article with @Regilo Regilio Guedes de Souza on AWS Amazon blog Automating application-consistent Amazon EBS Snapshots for InterSystems IRIS databases. Our team has created this step-by-step instruction to create application-consistent snapshots for InterSystems IRIS databases. In this article, we outline how to automate pre-scripts to pause I/O and flush buffer to disk and post-scripts to thaw I/O, as shown in the following figure:

Architecture diagram for automating application-consistent EBS Snapshots for InterSystems IRIS databases.

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I'd like to announce the release of something really rather interesting - revolutionary in fact. That may sound like hyperbole, but I don't think you'll have seen anything quite like this, or even thought it possible!

We've pushed out a new JavaScript/Node.js module named glsdb which you can read all about here in detail:

https://github.com/robtweed/glsdb

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Using VECTOR_COSINE() in SQL query to perform a text similarity search on existing embeddings in a %VECTOR column.

Code is below.

Commented out sql query returns this error: SQLCODE: -29 Field 'NEW_EMBEDDING_STR' not found in the applicable tables^ SELECT TOP ? maxID , activity , outcome FROMMain .AITest ORDER BY VECTOR_COSINE ( new_embedding_str ,

Sql query as written returns ERROR #5002: ObjectScript error: <PYTHON EXCEPTION> *<class 'OSError'>: isc_stdout_write: PyArg_ParseTuple failed!

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You may have heard about our mg-dbx-napi interface for IRIS which provides insanely fast access from Node.js. If you've been following recent developments in the server-side JavaScript world, you'll be excited to know that mg-dbx-napi also works with Bun.js, the latter proving to be significantly faster than Node.js for many/most purposes.

Of course, if you're a Node.js user, you'll probably wonder how mg-dbx-napi compares with the Native API for Node.js that is included with IRIS.

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Hi Community,

Dive into the new video on InterSystems Developers YouTube:

⏯ Near Real-Time Analytics with InterSystems IRIS & Debezium Change Data Capture @ Global Summit 2023

https://www.youtube.com/embed/MdPSTatJo9I
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Hi Community!

As an AI language model, ChatGPT is capable of performing a variety of tasks like language translation, writing songs, answering research questions, and even generating computer code. With its impressive abilities, ChatGPT has quickly become a popular tool for various applications, from chatbots to content creation.
But despite its advanced capabilities, ChatGPT is not able to access your personal data. So we need to build a custom ChatGPT AI by using LangChain Framework:

Below are the steps to build a custom ChatGPT:

  • Step 1: Load the document

  • Step 2: Splitting the document into chunks

  • Step 3: Use Embedding against Chunks Data and convert to vectors

  • Step 4: Save data to the Vector database

  • Step 5: Take data (question) from the user and get the embedding

  • Step 6: Connect to VectorDB and do a semantic search

  • Step 7: Retrieve relevant responses based on user queries and send them to LLM(ChatGPT)

  • Step 8: Get an answer from LLM and send it back to the user

For more details, please Read this article

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Is there a way to compare the content of two variables/ lists and if they share a common element/ value return 1?

Example the two below both have "Yellow":

Set y = "Red, Green, Orange, Yellow"

Set x = "Purple, Black, Yellow, Pink"

The lists I am working with have over 30 elements/values that vary so it is difficult to hard code it to say look for "Yellow".

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