pg-jev
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), Content scoring (内容评分), Search & ranking (检索与排序)
choice, score, noul: read in the code by a person 由人在代码里读到
a person read the call site 有人读过调用点 · · Cited file / 引用的文件: sql/jev--0.2.0.sql
Summary · 摘要
A real PostgreSQL extension exposing the primitives as SQL functions, so a semantic decision can appear in a WHERE clause over any row type.
一个真正的 PostgreSQL 扩展，把三个原语暴露成 SQL 函数 —— 语义判断可以直接写进任意行类型的 WHERE 子句。
Notes · 备注
The most surprising integration found. Putting a calibrated decision behind a SQL function changes where this kind of judgement can live at all — though it also means a query can now cost money and block on a network call.
找到的最出人意料的集成。把校准决策放进 SQL 函数，改变了这类判断能存在的位置 —— 但也意味着一条查询从此会花钱、并且会阻塞在网络调用上。
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/pg-jev.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.
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.
tax-doc-classifier
Classifies tax document pages: one request per page asks Jev two choices, page kind (7 options) and IRS form (230 plus none), and a follow-up choice for five forms' schedules; criteria come from IRS PDFs and code gates at 0.95. Its author measured no strict error on 314 filled pages.