nebula

So it's a pretty simple wrapper of LLM model in use (currently gpt-4o), it does not add much technical stuff in it. It does not use database for any "random search", but yes, columns.ai is a data analytics tool that allows you to connect supported live data sources like Google Spreadsheet, Airtable, Notion Database to create visual stories. The analytics engine is home built (https://github.com/varchar-io/nebula) but it is not a database. And I don't use LLM agents, just build logic how to purify data returned by LLM, and fit them into an optimized visualization. Hope I answered your question!

we use our in-house baked engine - open sourced here https://github.com/varchar-io/nebula Yeah, Tinybird has lots of similarities, I will do more research on it, thanks for the reference.

cool - I also hand crafted a CSV parser following RFC4180 a while ago, not sure if you have a repeatable way to benchmark the performance difference? https://github.com/varchar-io/nebula/blob/master/src/storage...