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Examples / Classify rows in DuckDB
COMMUNITY OBSERVED🤖 Jev Agent

Classify rows in DuckDB

Hamilton Ulmer’s DuckDB extension: Jev classifies the rows of any table or file.

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Classify rows in DuckDB

Overview & Result

I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!

How Jev fits in the loop

  1. Ingest real-time application state and relevant contextual parameters
  2. Format the decision problem as a bounded Choice or Noul schema
  3. Query Jev to receive a typed probability distribution in sub-50ms
  4. Execute downstream actions or route tasks according to the winning choice

How to reproduce

  1. Inspect the original showcase and source material at https://x.com/hamiltonulmer/status/2100370557405667768
  2. Verify the bounded prompt and input candidate schema configured for Jev
  3. Benchmark decision latency and classification accuracy against baseline models

Why this build matters

Demonstrates a real-world, cost-effective implementation of Jev in a search & content classification scenario, replacing expensive generative calls with fast typed decisions.

Reported performance

Reported by author

Latency: Sub-50ms deterministic decision window

Performance metrics and decision latency are reported by the original author and community benchmarks.

Limitations

  • Task accuracy is bounded by the precision of the defined candidate choices
  • Third-party external dependencies and network latency may affect total workflow duration

Patterns

Agent Evaluation