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For starters I don't believe that people even understand or agree what "vector" even means in this context.



A great deal of the current excitement around vector search is related to embeddings.

I tried to provide a very clear explanation of embeddings here, since I know lots of people haven't yet learned what they are or why they are interesting: https://simonwillison.net/2023/Sep/4/llm-embeddings/


Yes, the word is a bit overloaded... I guess from skimming through the article that here it is vector in the sense of word2vec algorithms.




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