chunk_content: ons of products which could blow up quickly.
  Instead, you can use a Transformer model to retrieve the top K nearest similar products for a given query by
  embedding the query and products in the same latent embedding space.
  The millions of products are embedded offline to create a search index.
  At run time, only the query is embedded by the model, and products are retrieved from the search index with a
  fast approximate nearest neighbor search li