Jev in production › SQL and data pipelines
Postgres extension exposing Jev as SQL functions (jev, jev_prob, jev_choice, jev_score) for semantic filtering, scoring and ranking of rows without an embedding index.
Write the condition the way you would say it. Postgres does the rest.
jev lets you filter, rank and classify rows with plain-language conditions. Every row is judged by TypeSafe's Jev, a System One model that returns calibrated probabilities instead of generated text. No index, no embeddings, no vector column.
jev() is an ordinary boolean function, so it composes with everything else in SQL: AND age 40, joins, GROUP BY, LIMIT, ORDER BY jevprob(...).
For the project's own README, linking back here: