Streaming Model Cascades for Semantic SQL
Modern data warehouses extend SQL with semantic operators that invoke large language models on each qualifying row, making per-row inference orders of magnitude more expensive than traditional SQL. Model cascades reduce this cost by routing most rows through a fast proxy model and delegating uncertain cases to an expensive oracle. Prior SUPG-style cascades, however, require a global proxy-score pass that is itself an LLM-inference workload and blocks output in pipelined query engines. They also target either precision or recall and cannot serve workloads that need both. We formalize the cascade routing problem for streaming semantic SQL with independent parallel workers and present two co...
| Authors | Paweł Liskowski, Kyle Schmaus |
|---|---|
| Primary category | cs.DB |
| Published | 1 April 2026 |
| Last updated at source | 3 July 2026 |
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