[P] Clustering approach for multi-dimensional vectors

Hi all! I am wondering if anyone has any experience with multi-dimensional vector clusters? I have a large database of 4096 dimensional vector embeddings which I want to identify clusters in. Essentially I’ve created vector embeddings for a bunch of descriptions using a LLM embedding end point and am storing them in Weviate. Now I need to try and find clusters of similar vectors within a predefined threshold of cosine similarity (or whatever nearest neighbor approach works for this). I …

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