Repo · Data & extraction

jev4pg

Natural-language-to-SQL and semantic operators for PostgreSQL: TypeSafe Jev answers typed questions per record while PostgreSQL handles joins and…

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From the repository

Established strong JEV based natural language to SQL performance and well-covered semantic operators for PostgreSQL(PG) with optimized cost and latency. Reusable evidence, with native execution, parallel plans and explainable embeddings in development preview.

databaseembeddingsjevjev-aillmnatural-language-querynl2sqlpgpostgrespostgresqlpythonrustsemantic-databasesemantic-searchsemantic-sqltext-to-sql

How builders describe it

Established strong JEV based natural language to SQL performance and well-covered semantic operators for PostgreSQL(PG) with optimized cost and latency. Reusable evidence, with native execution, parallel plans and explainable embeddings in development preview.

Natural-language-to-SQL and semantic operators for PostgreSQL: TypeSafe Jev answers typed questions per record while PostgreSQL handles joins and aggregation.

A Jev harness for PostgreSQL: 41 semantic operators plus a native Rust extension evaluate row-level predicates with Noul questions and keep the returned probabilities for explicit decision thresholds, leaving joins and aggregation to SQL.

The decision Jev makes

Keep or drop a row, assign a label, or select one field value at a time.

Where it fits

Putting Jev next to the data: filtering rows with plain-English conditions, classifying records, labelling datasets and pulling structure out of text one small decision at a time. All 98 data & extraction projects →

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