According to @_avichawla, pg-jev adds Jev SQL functions to Postgres for semantic WHERE filters, labels, probabilities, and ranking—no vectors required.

According to @_avichawla, Jev-style scoring directly ranks fixed labels, cutting decoding overhead and parsing errors versus structured output and text gen.

According to emollick, a non-LLM classifier rapidly applies decision rules and runs ~10 calls per second at about $7 per hour, offering system-level gains.