← Wednesday, September 30, 2026DatabasesDeep dive
Jev extensions bring typed plain-English classification to DuckDB
Jev returns typed answers and probabilities, and a community DuckDB extension reportedly classifies about 1,000 rows in roughly ten seconds. The approach offers a practical alternative to LIKE filters, per-row chat calls or building a classifier for some data tasks.
- What
- Jev is a model that returns typed answers and calibrated probabilities instead of generated sentences.
- How
- Its Noul, Choice, and Score answers correspond to SQL predicates, enums, and ordered values; questions in a request run in parallel.
- Why it matters
- DuckDB extensions let engineers apply plain-English classification and scoring to rows without training a classifier or parsing generated text.
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