I want to reduce false negatives in matching so that near-identical values are not treated as unrelated.

This feature improves matching accuracy by reducing false negatives, ensuring that near-identical values are recognized as related. It helps prevent small differences in representation from causing missed matches.

This feature is designed to reduce false negatives during matching so that near-identical values are not treated as unrelated. It targets situations where two values should match but fail due to minor, non-meaningful differences in formatting or representation. The purpose is to increase match recall while maintaining confidence that results remain relevant. It is useful when matching relies on comparing values that may vary slightly across sources, entries, or systems. By improving tolerance for small variations, it helps users avoid manually reviewing large volumes of missed matches. The primary benefit is more complete matching results, which can improve downstream workflows that depend on accurate linkage. This is particularly helpful in data reconciliation, record linkage, and deduplication tasks where near-identical entries are common. It can also reduce operational overhead by lowering the need for repeated re-runs or ad hoc exceptions. Overall, it supports more reliable matching outcomes when exact equality is too strict for real-world data.