jev4pg
Project / 项目 · In the catalogue / 在目录中查看
What Jev decides here · Jev 在这里做什么决定
Classification (分类), Structured extraction (结构化抽取), Search & ranking (检索与排序)
choice, noul: read in the code by a model, not yet by a person 由模型在代码里读到，尚无人复核
a model read the call site; no person yet 模型读过调用点，尚无人复核 · · Cited file / 引用的文件: sdd/generic/jev.py
Summary · 摘要
Natural-language SQL and 41 semantic operators for PostgreSQL. Filtering, extraction, ranking, matching and verification go to Jev in bounded batches with validated answers; a choice option needs 0.55 and a noul 0.8 to count. The authors report 98% accuracy against 92% for pg-jev's request path.written by a model
为 PostgreSQL 提供自然语言 SQL 和 41 个语义算子。过滤、抽取、排序、匹配和核验以有上限的批次交给 Jev，答案须先通过校验；choice 选项需达 0.55、noul 需达 0.8 才算成立。作者报告其准确率为 98%，pg-jev 的请求路径为 92%。模型撰写机翻
Notes · 备注
Previously published as JevSDSQL and jevsd-pg. The cited file is the shared decision layer; each operator builds its own questions. The comparison with pg-jev (catalogued) is the authors' own paired semantic-filtering benchmark. A choice below 0.55 raises DecisionUncertain for review. Row drafted from the discovery queue (issue #14) by an AI assistant that read the README and the cited file on 2026-10-26; a maintainer has not yet read the call site.
曾以 JevSDSQL 和 jevsd-pg 之名发布。所引文件是共享的决策层，各算子自行构造问题。与 pg-jev（已收录）的对比来自作者自己的成对语义过滤基准。choice 低于 0.55 时会抛出 DecisionUncertain 交人复核。本条目由 AI 助手根据发现队列（issue #14）起草，于 2026-10-26 阅读了 README 和所引文件；维护者尚未亲自阅读调用点。
Launches · 发布记录
Not launched yet. 还没有发布过。 Launch it / 发布它 ↗ · How a product launches / 怎样发布一个产品
Makers · Maker
Made this? Confirm or correct its entry / 这是你做的？确认或更正条目 ↗
The same form takes the product's one line and a demo link, in its maker's own words. 同一个表单也可以补上产品的一句话和演示链接，用 Maker 自己的话。
Badge for its README · README 徽章
[](https://kydlikebtc.github.io/awesome-jev/products/jev4pg.html)One line for the product's README, linked to this page. The picture says that it is listed; while it is on the launch board, that it is launching; after a week in the top three, its place. It is rebuilt with the site, so the line never needs changing. 放进产品 README 的一行，链接到本页。图片显示已收录；在发布榜上时显示正在发布；进过某周前三后显示名次。它随网站一起重建，这一行不用再改。
Also under this pattern · 同一模式的其他产品
json-render
Vercel Labs' generative UI framework. In its Jev experiment the model does not write JSON token by token — it only picks components, props and layout.
Inbox Zero: seven email decisions
Seven distinct email decisions, each with its own separately chosen threshold, falling back to the normal LLM on any error.
pg-jev
A real PostgreSQL extension exposing the primitives as SQL functions, so a semantic decision can appear in a WHERE clause over any row type.
jev-mcp
A ready-made judgement toolbox for agents: fact verification, content screening, semantic ranking, classification and extraction as separate tools.
docjev
Classifies and splits PDF, DOCX and PPTX files: LiteParse extracts page text locally, then Jev picks a document's category with a choice over your rules, or for a packet answers per page a category choice and a noul on whether a new document starts there. Its report covers 40 real PDFs.