70% of enterprise e-commerce sites struggle with semantic product discovery. Ryland M Bacorn, technical lead at Boca De, has successfully implemented vector embedding systems that improved site search relevance by 40% and increased cross-sell conversions for major retail clients. He outlines a practical framework for integrating embeddings across product catalogs, starting with specialized vector databases like Pinecone and proof-of-concept development using the 80/20 rule. The discussion covers tactical approaches for semantic taxonomy enhancement, automated internal linking strategies, and scaling embedding implementations beyond SEO into site search and product recommendation systems. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.