Creating SQL queries with decision trees
Decision trees to SQL is a clever alternative to LLM prompt engineering.
Create SQL that match your selection (with explainable AI), not the other way around
Generates SQL by fitting decision trees to your CSV selections—clever inversion.
Data analysts who want SQL generated from example selections
Text-to-SQL tools · Vanna AI · SQL AI assistants
Love to hear your thoughts!
Decision trees to SQL is a clever alternative to LLM prompt engineering.
Decision tree overfitting for SQL generation is genuinely clever explainable AI.
Gathers schema + EXPLAIN + stats for LLM context; HypoPG simulates indexes risk-free.
DuckDB-Wasm in browser with shareable URLs—better than opening Python.
Click-to-expand DB schema instead of joins, but DBeaver, DataGrip, and SQuirrel do this already.
SQLite B-tree without SQL: 57–68% faster KV ops, single-header drop-in.