Your team’s uncompressed HNSW cluster for this corpus n...

The justification relies on showing that memory-heavy nodes are a function of the data footprint. By applying compression techniques like IVF-PQ, you can significantly reduce the memory footprint per document. If compression causes a drop in recall, you can compensate by increasing the candidate set size and implementing a reranking stage to maintain accuracy.