chunk_content: is to build an embedding model that can retrieve semantically similar products given a product query.
  This is usually the first stage in building a product search engine to retrieve all the potentially relevant products of a given query.
  Typically, this involves using Bi-Encoder models to cross-join the query and millions of products which could blow up quickly.
  Instead, you can use a Transformer model to retrieve the top K nearest similar prod