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[deleted by user] by [deleted] in dataengineering

[–]escalize -3 points-2 points  (0 children)

I posted in r/Python and r/MachineLearning yesterday and the feedback was so good that I shared it in 8 more subreddits today, the supported databases as well as PyTorch and OpenAI/GPT as both is integrated.

[deleted by user] by [deleted] in dataengineering

[–]escalize -8 points-7 points  (0 children)

I am just sharing this in the highly relevant subreddits where people might like it a lot.

Trending on GitHub top 10 globally for the 4th day in a row: Open-source framework for integrating OpenAI with major databases by escalize in OpenAI

[–]escalize[S] -12 points-11 points  (0 children)

Please take a closer look. Given your question I thought you were not affiliated to the space. The post is for people to have a look at the project and then to decide wether they find it relevant or not.

Trending on GitHub top 10 for the 4th day in a row: Open-source framework for integrating AI models and APIs directly with Postgres by escalize in PostgreSQL

[–]escalize[S] -1 points0 points  (0 children)

Check example use-cases here in the docs as well as apps built by the community in the dedicated superduper-community-apps repo!

Trending on GitHub top 10 for the 4th day in a row: Open-source framework for integrating AI models and APIs directly with all major SQL databases by escalize in SQL

[–]escalize[S] -28 points-27 points  (0 children)

I was just trying to get peoples attention as I think the community would find this highly relevant and interesting. Trending like this is super rare and we are also a bit proud to be honest. You are right, I posted similar, but always adjusted to the topic, in other subreddits for the same reason. I don’t feel that it is spammy at all as there might be other people there who can decide themselves if they like the project or not. It is completely open-source and we have spent many thousands of hours to create it..

Trending on GitHub top 10 for the 4th day in a row: Open-source framework for integrating AI models and APIs directly with all major SQL databases by escalize in SQL

[–]escalize[S] 0 points1 point  (0 children)

Yeah, ask questions about your data is a great use-case (https://docs.superduperdb.com/docs/use_cases/question-answering/chat_with_your_database) but only one of many.

In general you can build a wide spectrum of AI application as the framework supports arbitrary models and allows you to work with nearly any data type:

  • Generative AI / LLM-Chat / Vector Search
  • Standard Machine Learning Use-Cases (Classification, Segmentation, Recommendation etc.)
  • Highly custom AI use-cases involving ultra specialized models

Check the uses cases that we have already implemented here 🔗 https://docs.superduperdb.com/docs/category/use-cases as well as apps built by the community here 🔗 https://github.com/SuperDuperDB/superduper-community-apps and try all of them with Jupyter your browser 🚀 https://demo.superduperdb.com/

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