Your question is Compare Embedding Models for RAG. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are working on a Generative AI system that depends on semantic search over internal documents. The team has tried a few embedding models and now wants a clear explanation of which ones you used, why you chose them, and how they affected retrieval quality.
Walk me through the specific embedding models you utilized in your last Generative AI project.