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supersonic
SuperSonic is the next-generation BI platform that integrates Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms. (by tencentmusic)
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From making a few variations on data chatbots in the past year, I found that my favorite / most fun to use ones seem to be more "chain-of-thought" and conversational rather than "retrieval-augmented" style.
Less about one-shotting the answer, and more about showing its work, if it errors, letting it self-correct. Latency goes up, but quality of the entire conversation also goes up, and feels like it builds more trust with the user. Key steps are asking it to "check its work", and watching it work through new code etc. (I open-sourced one version of this: https://github.com/approximatelabs/datadm that can be run entirely locally / privately)
From their article: I'm surprised they got something working well by going through an intermediate DSL -- thats moving even further away from the source-material that the LLMs are trained on, so it's an entirely new thing to either teach or assume is part of the in-context learning.
All that said, interesting: I'll definitely have to try out tencentmusic/supersonic and see how it feels myself.
It looks like https://github.com/tencentmusic/supersonic is a component. I'm trying to figure out what they are doing too.
Ibis could also be a target. It compiles queries written in python to multiple dataframe libraries, and SQL targets.
https://ibis-project.org/
I tried Boiling Data, but the product looks dead or abandoned: https://github.com/ClickHouse/ClickBench/issues/125 It does not work at all.