But, range queries are not supported by the GIN index; asking for all products with the SIZE variations having value in a certain number range will not utilize the index. In cases like this, it is necessary to move some fields out of JSON documents to separate columns/tables and index them traditionally, using old and proven B-trees. In these instances, Mongo is more forgiving and flexible. It allows for strategies of the kind:
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Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36
The third tactic focuses on optimizing for natural language queries rather than keyword stuffing. Traditional SEO often encourages optimizing for specific keyword phrases, sometimes at the expense of natural writing. You might structure sentences awkwardly to include exact keyword matches or repeat phrases more often than sounds natural. This approach can work for search engines that match keywords mechanically.