What is a common mistake when working with Embeddings?

Changing embedding models without rebuilding stored vectors or mixing incompatible vector dimensions can break retrieval quality. In practice, the value of this concept comes from understanding where it belongs in the architecture, what problem it solves, and what constraints or tradeoffs it introduces.