Finding Trends With Approximate Embedding Clustering
Clustering vectors by similarity is a powerful method to identify trends and categories of a dataset, frequently used in analytics (like identifying shopping trends) and in various AI use cases (like RAG and contextual tagging). Many known algorithms exist to cluster data such as K-Means and Hierarchical Clustering, but based