NeuralSearch users can now adjust the similarity score cutoff for NeuralSearch results based on the strength of the top match. Rather than applying a fixed threshold across all queries, the filter scales dynamically - returning broader results when top matches are highly relevant and narrowing results when match quality is lower. This improves result precision, reduces irrelevant results surfacing to end users, and eliminates the need for manual threshold configuration per index. Click here to learn more.