Update README.md

README.md

@@ -11,4 +11,6 @@ The dataset has been had embeddings generated with three models: thenlper/gte-sm
 
 Those models have a context length of 512, 8192, and 32k tokens respectively
 
-These embeddings are put into 4096 clusters, the centroids for each cluster is provided, as well as the content ids for each cluster, for each model.
+These embeddings are put into 4096 clusters, the centroids for each cluster is provided, as well as the content ids for each cluster, for each model.
+
+To search the embeddings on the client side, it would be wise to first query against the centroids, and then retrieve the closest gte-small cluster, and then query against the cluster.