Hi, thanks for trying it! 19m for ~20 tables is slower that I'd expect, I assume you activated historic queries, right? As Luca said we're focusing on performance improvements right now. 99% of the latency is LLM calls, so we're optimizing them.
As for the descriptions: `pg_description` should be used already, we store raw pg descriptions in the semantic-layer/<connection>/_schema/*.yaml files under descriptions.db.
there's also an AI generated description next to it. AI is the combination of the raw DB description + bunch of metadata we manage to collect about a table/column.
could you run `ktx sl` and see if the descriptions appear in the CLI ?
also feel free to join our community Slack - ktx.sh/slack
We'll be happy to help with other questions
As for the descriptions: `pg_description` should be used already, we store raw pg descriptions in the semantic-layer/<connection>/_schema/*.yaml files under descriptions.db. there's also an AI generated description next to it. AI is the combination of the raw DB description + bunch of metadata we manage to collect about a table/column.
could you run `ktx sl` and see if the descriptions appear in the CLI ?
also feel free to join our community Slack - ktx.sh/slack We'll be happy to help with other questions