When should you replace KNN entirely in a production system?

Replace KNN when latency, scale, or high-dimensional structure makes nearest neighbor search unreliable.

KNN should be replaced when inference time is critical, dataset is large, or embeddings are complex. Alternatives include tree-based models, neural networks, or ANN-based retrieval systems depending on the use case.