Semantic Query Engine
A query system that connects large language models with structured data. It uses an LLM to evaluate data content row by row, enabling natural-language-driven semantic querying and extraction from structured datasets.
Timeline (last 90 days)
A study based on 1.2 million model calls systematically quantified the inter-run variance of semantic query engines
The study recommends that engines should treat uncertainty as a first-class citizen, use decision margin and reasoning length to identify unstable rows, and balance cost and stability through voting and cascade mechanisms
All Facts (2)
A study based on 1.2 million model calls systematically quantified the inter-run variance of semantic query engines
50%UnverifiedThe study recommends that engines should treat uncertainty as a first-class citizen, use decision margin and reasoning length to identify unstable rows, and balance cost and stability through voting and cascade mechanisms
50%