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The Right Answer from the Wrong Document: Vector Databases and Approximate Nearest Neighbour Search
A document assistant at an operator confidently quotes a separator's pressure rating from a datasheet that was superseded eighteen months ago. In episode one hundred and thirteen, search engineer Saoirse Adeyemi and document controller Hollis Brandt trace the failure to the retrieval step. We learn what an embedding is and why the old and new datasheets sit almost on top of each other in meaning, why exact nearest-neighbour search collapses in high dimensions, and the approximate tricks that rescue it: clusters like library sections, product quantization that squeezes a four-kilobyte vector…
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