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the rapid growth of unstructured data like text images and video offers hidden insights however it Shear volume and complexity pose a challenge in extracting its value traditional keyword searches struggle leaving important information in connections undiscovered this is where Vector search offers a breakthrough Vector search uses embeddings which are numerical representations of your data machine learning models transform text images and even video into embeddings allowing you to compare and search them based on their underlying meaning not just literal keywords this is because semantically similar text images and video have similar numerical representations in embeddings Imagine finding images similar to a product photo identifying video clips related to a customer review or finding text documents that all Express a similar sentiment ctor search makes this possible and what if you could do all of this without leaving your data warehouse well big query makes it a reality in this video
