HA-Jev
Home Assistant integration: ask a question about your house, get a probability, choice, or score as an entity.
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17 entries
Home Assistant integration: ask a question about your house, get a probability, choice, or score as an entity.
Eight small examples from mechanical and electrical engineering: CAD routing, FEM triage, DFM screening, BOM alignment.
One request per page picks among 261 IRS forms and seven page kinds; reports 100 percent on its corpus at $0.001 a page, 34 times cheaper than the LLM pipeline it replaced.
Semantic SQL for PostgreSQL, with Jev answering the predicates.
Gives every stored agent memory a lease and asks Jev whether new evidence ends it; [live demo](https://invalidate-playground.vercel.app).
PostgreSQL extension that answers plain-language questions about your tables.
DuckDB worker that exposes choice, noul, and score as lateral-joinable table functions in SQL.
Pre-alpha PostgreSQL extension for categorical classification with Jev.
DuckDB extension that asks a question of every row and returns a real SQL type.
Adds Jev Noul, Choice, and Score judgments to SQLite through a loadable C extension and Python wrapper, with scalar functions and batched virtual-table queries.
Ticket triage and file tagging on a typed-judgment model; reports 78 percent fewer tokens and 96.1 percent accuracy against a 93.7 percent baseline.
Asks a clinical trial report for systematic-review data by voice, text, or a questions file; every answer is a verbatim quote with its file and place.
SQL with natural-language predicates over SQLite: filter, rank, and classify rows by meaning, batched and cost-guarded.
Sifts Parquet and JSONL training data at more than 1,500 rows a second.
Links records across two datasets from a match rule written in plain English, from Python, the shell, Stata, or R, and reports F1 0.73 against 0.69 for tuned string matching on NBER patent assignees to Compustat.
Scores OpenTelemetry log signal before paying for LLM analysis.