An introduction to neural vector search, in comparison to keyword-based search. - ai datascience
If you’re tech-oriented in any way - down to just being occasionally curious - then you should have heard about vector search. If you haven’t or still feel a bit lost, here is an introduction that will make it all clear.Human memory is unreliable. Thus, as long as we started to collect ‘knowledge’ in written form, we had to figure out how to search for relevant content without rereading the same books repeatedly. That’s why some brilliant minds introduced the inverted index.
The process of tokenization with an additional stopwords removal and converstion to root form of a wordwhere each position has a corresponding word from the whole dictionary. If the input text contains a specific word, it gets a non-zero value at that position. But in reality, none of the texts will contain more than hundreds of different words. So the majority of vectors will have thousands of zeros and a few non-zero values. That’s why we call them sparse.
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