AI search is often treated as an upgrade. Many assume that adding machine learning or embeddings will instantly improve relevance and performance. However, in real-world systems, this assumption rarely holds. In practice, AI search introduces new layers of complexity. If the underlying system is not designed correctly, performance can degrade instead of improving. This is…