[gbrits]

Slightly tangent, but it would be really powerful to be able to train a model (through LoRa probably) on your datawarehouse, having table structures of facts and dimensions.

Self service BI would be a solved problem. No more building tedious widgets, but simply ask ChatGPT or similar for 'last 5 yours pNl by business unit'. Bonus points if based on cardinality, etc. it will properly choose the correct chart type (e.g.: stacked bar).

[zainhoda]

I’m building exactly this! https://vanna.ai

[d4rkp4ttern]

Your website says:

>Vanna.AI “trains” a model for your specific database

(Quotes mine)

When you say “trains”, I guess you don’t mean training in the true ML sense of updating model parameters, but rather you use a vector-db plus retrieval to augment queries (the usual recipe for “chat with my data”)?

[gbrits]

Awesome! Going to check it out

[sekiro]

We're building this at DinMo! (dinmo.com) We started with a context augmented assistant with retrieval and augmented queries, but we're actually working on training a smaller model for each client datawarehouse by creating a specific training dataset. You can check out a video the first version of the assistant here https://www.youtube.com/watch?v=qRClskxe1Wk