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Honey, I shrunk the embeddings: Matryoshka vs. PCA
people began using LLMs with their own documents, a new problem emerged: how do you store and search all that information efficiently? Vector databases quickly became the standard solution. But vectors can contain thousands of dimensions, and storing millions of them can make retrieval slow and expensive.
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