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>a new problem emerged: how do you store and search all that information efficiently?

This is no way a new problem. The idea that embeddings or even search didn't exist until LLMs is simply false.

That's not a fair read of what I said

Well to me it's written in a way that suggests that users had no need for searching through their documents to find information. User's have had this need before vector search was used for ranking, so starting the story of how to search user's documents with vector databases is ignoring history.

That sentence is written as an introduction to an article about embeddings compression. So yeah, it does take a bit of a shortcut from "search" to "vector storage", but that's irrelevant to the rest of the article.

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