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hey guys itamp;#39;s Eugen welcome to another installment in our Vector database fundamentals Series today weamp;#39;re going to be talking about the vector index hierarchical navigable small worlds or hnsw at index time this algorithm creates a layered graph index and from from your data set at query time it queries from the top layer down until it finds the closest point to your input and the way this works is at at index time as each data point is being inserted into the graph a uniform random number is generated a uniform random variable is generated and based on that variable based on that number the data point will either go into layer 0 or the layer above it or the layer above it with each layer being generated as needed so for example if your number is letamp;#39;s say you know 0.9 then layer 0 if you get between 0 and 0.9 youamp;#39;re in layer 0 if you get between 0.9 and 0.99 youamp;#39;re in layer one if you get between 0.99 and 0.99 youamp;#39;re in Layer Two and so
