This is outstanding news!
The promise of substantial performance boosts and a more efficient memory footprint is truly exciting.
I’m eager to explore and discover how it can enhance my projects.
I just want to congratulate @Olga Zavrazhnova and the InterSystems team on the new Global Masters! We missed it for a while, but the wait was totally worth it. The new page is amazing! It’s so beautiful, and the experience is fantastic.
I want to congratulate all the participants and thank everyone who voted on us.
A big thank you to the entire staff team for organizing another outstanding contest.
Thanks for your question! I'm not sure if I understood it correctly (Google Translate helped me with this), but I believe you're asking about integrating Iris into a Streamlit application.
There are a couple of ways to do this:
Direct Integration: You can import the Iris library directly into your Streamlit app.
SQLAlchemy: Using SQLAlchemy is also an effective method. There's an example in this article.
In SQLZilla, we use SQLAlchemy and Langchain_Iris. You can find more details in Jose Roberto's article, which I strongly recommend reading if you're interested in combining Iris with Python and Langchain.
Please let me know if this helps! If you have any more questions, feel free to ask.
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Thanks @Danusa Calixto
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Congratulations!!!
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👏👏👏👏👏👏👏👏👏
Another great article, as always!!!
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Congratulations @Mihoko Iijima!!!

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great article
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Thanks for sharing this useful article.
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Great article! Thanks for sharing
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This is outstanding news!
The promise of substantial performance boosts and a more efficient memory footprint is truly exciting.
I’m eager to explore and discover how it can enhance my projects.
go to post
I just want to congratulate @Olga Zavrazhnova and the InterSystems team on the new Global Masters!
We missed it for a while, but the wait was totally worth it.
The new page is amazing!
It’s so beautiful, and the experience is fantastic.
Congratulations again on the incredible work
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Congrats to all participants
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Hi ,
I just published a SQL-Embedding article on DC
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I want to congratulate all the participants and thank everyone who voted on us.

A big thank you to the entire staff team for organizing another outstanding contest.
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Hi Jing Liu,
Thanks for your question! I'm not sure if I understood it correctly (Google Translate helped me with this), but I believe you're asking about integrating Iris into a Streamlit application.
There are a couple of ways to do this:
In SQLZilla, we use SQLAlchemy and Langchain_Iris. You can find more details in Jose Roberto's article, which I strongly recommend reading if you're interested in combining Iris with Python and Langchain.
Please let me know if this helps! If you have any more questions, feel free to ask.
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That sounds great!!! Excited about it
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That's amazing!!!

Congratulations to all participants and all the incredible apps!
The creativity in this contest was outstanding.
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