X @Avi Chawla

100%That's how much data you re-index when you change embedding models.And most teams treat that as unavoidable.Imagine you built a RAG pipeline using an embedding model with high retrieval quality, and it ships to production.Six months later, a better embedding model is released that delivers similar quality at a lower cost.But your existing embeddings live in one vector space, while the new model produces embeddings in a different one, which makes them incompatible.Switching models now means rebuilding th ...