The RankBrain system was the very first system

[samiaseo55]

In order for the results to be relevant to your query, the system had to understand the word as a concept. And that was Google's first intelligent activity and its first step towards understanding content as if it were a human.

For example, if you type “What color is the sky?” into a search, AI is able to understand the meaning of the word “sky” and that it has a perceived color. Google can then show the searcher a result that doesn’t just contain words, but directly answers the query.

A few years later, Google made another big leap fusion data forward in matching words to concepts using neural matching. (Google has been using this system since 2015!)

Neuronal concordance (2018)
This system was created to help Google understand how queries are related to pages and how they relate to concepts that are difficult to understand.

Let's say you enter the query "Tie my shoelaces" into the search results. This combination can now have multiple variants. Thanks to neutral matching, Google is able to "understand" that the word "laces" means shoelaces and will show the queryer results about ways to tie them. (Google has been using this system since 2018!)