Does swapping in a stronger embedding model make docume...

Dense retrieval and document expansion are complementary mechanisms. While embedding models can map synonyms into the same vector space, they do not replace the need for sparse retrieval in hybrid systems. Many production systems run both because their failure modes do not overlap. Relying solely on a stronger embedding model is often a more expensive and less targeted solution than document expansion for specific vocabulary issues.