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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 in this article, I will demonstrate below steps to build custom ChatGPT AI by using LangChain Framework:

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Article
· Jun 12, 2023 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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These days the vast majority of applications are deployed on public cloud services. There are multiple advantages, including the reduction in human and material resources needed, the ability to grow quickly and cheaply, greater availability, reliability, elastic scalability, and options to improve the protection of digital assets. One of the most favored options is the Google Cloud. It lets us deploy our applications using virtual machines (Compute Engine), Docker containers (Cloud Run), or Kubernetes (Kubernetes Engine). The first one does not use Docker.

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Hi Developers,

The annual competition for InterSystems IRIS developers is fast approaching!

We're super excited to invite you all to join the Grand Prix contest for building open-source solutions using InterSystems IRIS data platform!

🏆 InterSystems Grand Prix Contest 2023 🏆

Duration: June 12th - July 9th, 2023

Prize pool: $26,000

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Hi Community,

We have some exciting news! It's time for the next InterSystems technical article writing competition!

✍️ Technical Article Contest: InterSystems IRIS Tutorials ✍️

Write an article that can be considered a tutorial for InterSystems IRIS programmers of any level: beginner / middle / senior from February 19th to March 17th. We've extended the submission deadline till the 24th of March!

🎁 Prizes for everyone: A special prize for each author participating in the competition!

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Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

  • Step1: Install required libraries

  • Step2: Create patterns and responses file

  • Step3: Train the Model

  • Step4: Create ChatBot Application based on the trained model

So Let us start.

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Hi Developers,

We have exciting news! The new InterSystems online programming contest dedicated to all things health-related will start very soon!

🏆 InterSystems FHIR and Digital Health Interoperability Contest 🏆

Duration: January 15 - February 4, 2024

Prize pool: $14,000

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Article
· Aug 31, 2023 5m read
PDF Compression Using Ghostscript

Introduction.

Have you ever felt like your PDF files take up too much space on your server? As you collect more and more of these files, you might run into storage issues that can be costly to solve. But what if there was a way to shrink the size of these PDFs by 50% to 70% without compromising the document's visual clarity.

Today, we're going to explore a solution for this problem that I really like: GhostScript.

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Hi Community

In this article, I will introduce my application irisChatGPT which is built on LangChain Framework.

First of all, let us have a brief overview of the framework.

The entire world is talking about ChatGPT and how Large Language Models(LLMs) have become so powerful and has been performing beyond expectations, giving human-like conversations. This is just the beginning of how this can be applied to every enterprise and every domain!

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With the release of InterSystems IRIS Cloud SQL, we're getting more frequent questions about how to establish secure connections over JDBC and other driver technologies. While we have nice summary and detailed documentation on the driver technologies themselves, our documentation does not go as far to describe individual client tools, such as our personal favourite DBeaver. In this article, we'll describe the steps to create a secure connection from DBeaver to your Cloud SQL deployment.

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Announcement
· Jul 19, 2023
The 2nd InterSystems Idea-A-Thon

Hi Developers!

We’re happy to invite you to the contest dedicated to your bright ideas related to InterSystems technology:

🎁 The 2nd InterSystems Idea-A-Thon 🎁

Post an idea according to the topic of this Idea-A-Thon between August 01 and August 21 and receive a guaranteed prize.

Both InterSystems employees and Community Members are invited to participate!

>> SUBMIT YOUR IDEA HERE <<

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Article
· Jun 19, 2023 8m read
Open AI integration with IRIS

As you all know, the world of artificial intelligence is already here, and everyone wants to use it to their benefit.

There are many platforms that offer artificial intelligence services for free, by subscription or private ones. However, the one that stands out because of the amount of "noise" it made in the world of computing is Open AI, mainy thanks to its most renowned services: ChatGPT and DALL-E.

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Welcome to the next chapter of my CI/CD series, where we discuss possible approaches toward software development with InterSystems technologies and GitLab.
Today, we continue talking about Interoperability, specifically monitoring your Interoperability deployments. If you haven't yet, set up Alerting for all your Interoperability productions to get alerts about errors and production state in general.

Inactivity Timeout is a setting common to all Interoperability Business Hosts. A business host has an Inactive status after it has not received any messages within the number of seconds specified by the Inactivity Timeout field. The production Monitor Service periodically reviews the status of business services and business operations within the production and marks the item as Inactive if it has not done anything within the Inactivity Timeout period.
The default value is 0 (zero). If this setting is 0, the business host will never be marked Inactive, no matter how long it stands idle.

This is an extremely useful setting since it generates alerts, which, together with configured alerting, allows for real-time notifications about production issues. Business Host being idle means there might be some issues with production, integrations, or network connectivity worth looking into.
However, Business Host can have only one constant Inactivity Timeout setting, which might generate unnecessary alerts during known periods of low traffic: nights, weekends, holidays, etc.
In this article, I will outline several approaches towards dynamic Inactivity Timeout implementation. While I do provide a working example (currently running in production for one of our customers), this article is more of a guideline for building your own dynamic Inactivity Timeout implementation, so don't consider the proposed solution as the only alternative.

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Article
· Sep 18, 2023 7m read
Vectors support, well almost

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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Demonstration example for the current Grand Prix contest for use of a more complex Parameter template to test the AI.

Interview Questions

There is documentation. A recruitment consultant wants to quickly challenge candidates with some relevant technical questions to a role.

Can they automate making a list of questions and answers from the available documentation?

Interview Answers and Learning

One of the most effective ways to cement new facts into accessible long term memory is with phased recall.

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Have you ever been editing files in VS Code, but needed to check a global value or run a few ObjectScript commands? Now you can, with no setup required! If you have vscode-objectscript extension version 2.10.0 or later and are connected to InterSystems IRIS 2023.2 or later, you can now open a terminal connection to your server, regardless of where it's located.

There are three ways to open this new terminal:

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Question
· Jul 3, 2023
HL7 test message generator

I am looking for an appropriate solution to generate HL7 test messages to test my production. IRIS for Health already contains many HL7 specific functions like the schema structures. Furthermore one can use transformations to build custom messages.

What I am interested in is if anyone has already created a tool or script that can be used to create any HL7 messages that meet the minimum requirements and populate all the required fields with test values. I would then like to send these test messages via TCP to a business service.

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FHIR has revolutionized the healthcare industry by providing a standardized data model for building healthcare applications and promoting data exchange between different healthcare systems. As the FHIR standard is based on modern API-driven approaches, making it more accessible to mobile and web developers. However, interacting with FHIR APIs can still be challenging especially when it comes to querying data using natural language.

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