Jev in production › SQL and data pipelines
PostgreSQL-backed database with 41 semantic SQL operators built on Jev's Choice, Score and Noul for classification, extraction, ranking, matching and checks. Jev query planning cost $0.389 per 100 BIRD attempts vs $3.262 for an LLM, at lower accuracy (author).
Natural language to SQL and semantic operators for PostgreSQL
Website · Quick start · Existing PostgreSQL · Advantages · Benchmark · What you can build · Project guide · Installation · User guide · 简体中文 · Function reference · Documentation
jev4pg is a carefully designed JEV harness, brings semantic intelligence to PostgreSQL with a comprehensive toolkit of 41 JEV operators for filtering, extraction, ranking, matching and verification. Build semantic search, document workflows and analyst tools on your existing data, with natural-language queries in English and Simplified Chinese.
For the project's own README, linking back here: