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Vector embeddings & language: how models turn words into geometry
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A user types "refund policy" into your search box, but the doc they need is titled "returns and reimbursements." Keyword matching scores it near zero even though it's exactly what the user asked for. Vector embeddings help address this mismatch by rep...
Source:https://redis.io/blog/text-embeddings-how-language-becomes-vectors/PreviousAgent memory as a moat: how context compoundsNextReciprocal rank fusion: why combining search results is harder than it looks
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