Experimental results from testing whether vector databases can be migrated to new embedding models without re-embedding the entire corpus.
We embedded ~1M MS MARCO passages with 6 embedding models across 3 dimensionalities (768, 1024, 2560), trained linear translators between every pair of embedding spaces, and measured recall@10 ratio (translated / native ceiling).
