CommunityWorkflows & integrations
pg-jev
realZachi/pg-jev
A PostgreSQL extension using Jev to evaluate natural-language conditions on table data.
What problem does it solve?
A PostgreSQL extension using Jev to evaluate natural-language conditions on table data.
What public sources establish
Adds semantic decisions to database queries.
Examples for filtering, scoring and classification.
Where it fits
Business inputWorkflow or data records
Jev decisionClassify, score & choose
Business codeBranches & downstream actions
An editorial responsibility diagram, not a screenshot or live result from the project.
How to read and try it
Start with a small, non-sensitive sample and verify inputs, outputs and downstream actions. Check permissions, budget and failure handling for external processing.
Check before integrating
01
Read the original source
Review the author notes or official docs for current status, dependencies and limitations.
02
Validate the smallest use case
Start with a small test before connecting a real workflow. This directory has not run the project for you.
03
Keep fallbacks and source records
Record the version, configuration and sources used so later updates remain traceable.
Sources & usage boundaries
Requires database-extension permissions and an external model service. Assess data leaving the database and API costs first.
Author repository / READMEhttps://github.com/realZachi/pg-jev
Source review: 2026-09-19 · Scope: public pages, author descriptions and resource positioning. No independent execution, performance retesting or security audit.