How would you answer an interview scenario involving Embeddings?

For an interview scenario involving Embeddings, I would first clarify the business goal, scale, constraints, and the failure or quality attribute the interviewer wants to explore. Embeddings convert text into numerical vectors so semantically similar content can be compared in vector space. In this scenario, for a knowledge base with millions of chunks, describe how you would migrate to a new embedding model safely and verify retrieval quality. I would then explain the main alternatives and tradeoffs, identify likely failure modes, and describe how I would validate the solution through testing, observability, security controls, and recovery or rollback planning.