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In this video, I'll show you how to use kNN search to retrieve documents after embedding them. This search method is applicable only if your index contains a dense_vector field. In video 16, we learned how to convert text into dense vectors using an embedding model. But how do we search within these embedded documents? Watch that video here ...
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