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How do you roll out embeddings across your product catalog?

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Manage episode 520469103 series 2427082
Content provided by I Hear Everything. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by I Hear Everything or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Enterprise e-commerce sites struggle to leverage product catalog data effectively for search optimization. Ryland M Bacorn from Boca De shares his proven framework for implementing vector embeddings across large-scale product catalogs, demonstrating measurable improvements in site search relevance and internal linking strategies. The discussion covers his three-phase implementation approach: establishing specialized database infrastructure with tools like Pinecone, building proof-of-concept prototypes using the 80/20 rule for high-impact product segments, and scaling embeddings beyond SEO into site search, product recommendations, and automated content generation systems.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

1695 episodes

Artwork
iconShare
 
Manage episode 520469103 series 2427082
Content provided by I Hear Everything. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by I Hear Everything or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Enterprise e-commerce sites struggle to leverage product catalog data effectively for search optimization. Ryland M Bacorn from Boca De shares his proven framework for implementing vector embeddings across large-scale product catalogs, demonstrating measurable improvements in site search relevance and internal linking strategies. The discussion covers his three-phase implementation approach: establishing specialized database infrastructure with tools like Pinecone, building proof-of-concept prototypes using the 80/20 rule for high-impact product segments, and scaling embeddings beyond SEO into site search, product recommendations, and automated content generation systems.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

1695 episodes

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