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#Contest

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Contest tag unites posts that are related to any coding competition taking place on InterSystems Developer Community.

Hey Community,

We have more exciting news! The new InterSystems online programming contest dedicated to Generative AI, Vector Search and Machine Learning is starting very soon!

🏆 InterSystems Vector Search, GenAI and ML Contest 🏆

Duration: April 22 - May 19, 2024

Prize pool: $14,000

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Hi Developers,

🎄 Christmas cheer is in the air, and we decided to try something new for the last programming contest of the year. Welcome the

🏆 Bringing Ideas to Reality Contest 🏆

Submit an application that implements an idea from the InterSystems Ideas Portal that has statuses Community Opportunity or Future Consideration and requires doing the actual programming 😉

Duration: December 2 - 22, 2024

Prize pool: $14,000

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Hi Developers,

We'd like to invite you to join our next contest dedicated to creating useful tools to make your fellow developers' lives easier:

🏆 InterSystems Developer Tools Contest 🏆

Submit an application that helps to develop faster, contributes more qualitative code, and helps in testing, deployment, support, or monitoring of your solution with InterSystems IRIS.

Duration: September 9 - 29, 2024

Prize pool: $14,000

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Hi Community!

It's time to celebrate our 25 fellow members who took part in the latest InterSystems Technical Article Contest and wrote

🌟 38 AMAZING ARTICLES 🌟

The competition was filled with outstanding articles, each showcasing innovation and expertise. With so many high-quality submissions, selecting the best was no easy task for the judges.

Let's meet the winners and look at their articles:

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Unlike the movie mentioned in the image (for those who don't know, Matrix, 1999), the choice between Dynamic SQL and Embedded SQL is not a choice between truth and fantasy, but it is still a decision to be made. Below, I will try to make your choice easier.

If your need is interactions between the client and the application (and consequently the database), Dynamic SQL may be more appropriate, as it "adapts" very easily to these query changes. However, this dynamism has a cost: with each new query, it is remodeled, which can have a higher cost to execute. Below is a simple example of a Python code snippet.

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Hey Community,

It's time for the first programming contest of the year, and there's a surprise so read on! Please welcome:

🏆 InterSystems AI Programming Contest: Vector Search, GenAI, and AI Agents 🏆

Duration: March 17 - April 6, 2025

Prize pool: $12,000 + a chance to be invited to the Global Summit 2025!

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Hi Developers!

Here're the technology bonuses for the InterSystems Vector Search, GenAI, and ML contest 2024 that will give you extra points in the voting:

  • Vector Search usage - 5
  • IntegratedML usage - 3
  • Embedded Python - 3
  • LLM AI or LangChain usage: Chat GPT, Bard, and others - 3
  • Questionnaire - 2
  • Docker container usage - 2
  • ZPM Package deployment - 2
  • Online Demo - 2
  • Implement InterSystems Community Idea - 4
  • Find a bug in Vector Search, or Integrated ML, or Embedded Python - 2
  • First Article on Developer Community - 2
  • Second Article On DC - 1
  • First Time Contribution - 3
  • Video on YouTube - 3
  • Suggest a new idea - 1

See the details below.<--break->

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After so many years of waiting, we finally got an official driver available on Pypi

Additionally, found JDBC driver finally available on Maven already for 3 months, and .Net driver on Nuget more than a month.

As an author of so many implementations of IRIS support for various Python libraries, I wanted to check it. Implementation of DB-API means that it should be replaceable and at least functions defined in the standard. The only difference should be in SQL.

And the beauty of using already existing libraries, that they already implemented other databases by using DB-API standard, and these libraries already expect how driver should work.

I decided to test InterSystems official driver by implementing its support in SQLAlchemy-iris library.

Open Exchange app
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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.

Open Exchange app
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Hi Developers!

Here are the technology bonuses for the InterSystems Python Contest 2024 that will give you extra points in the voting:

  • IRIS Vector Search usage - 3
  • Python Pex Interoperability - 3
  • Python in BPL - 2
  • WSGI Web Apps - 2
  • Python libs: sqlalchemy and dbt - 2
  • LLM AI or LangChain usage: Chat GPT, Bard and others - 3
  • NoObjectScriptLine - 3
  • Hugginface - 2
  • Docker container usage - 2
  • ZPM Package deployment - 2
  • Online Demo - 2
  • Implement InterSystems Community Idea - 4
  • Find a bug in Embedded Python - 2
  • First Article on Developer Community - 2
  • Second Article On DC - 1
  • First Time Contribution - 3
  • Video on YouTube - 3
  • YouTube Short - 1

See the details below.<--break->

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