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hi welcome to the video today weamp;#39;re going to be covering another technique in similarity search called locality sensitive hashing or lsh now lsh is a hugely popular technique used in efficient similarity search now there are a huge number of companies that use similarity search i mean you have big names like google i mean google is built from similar search and then you have netflix amazon spotify all of them are constantly recommending you different products films music and they do that by comparing you to other customers so they are performing a similar research between you other customers and identifying the most similar ones now you have two approaches you have exhaustive which is comparing all of the data points iamp;#39;m just gonna call them vectors from now on because thatamp;#39;s what weamp;#39;ll be using so comparing all these vectors and obviously itamp;#39;s slow approximate search allows us to approximate those vectors restrict our scope to a more rel
