Add HSNW-IVF index options

[mtbarta]

My system is currently under pressure while training a new model. Benchmarking the search critical path, it's the coarse quantizer that
takes the most time at a whopping 80%.

HSNW-IVF will use HSNW to find the closest centroids and cut down on the latency.

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Note: This work depends on removing the fully constructed distance matrix used in KnnNearestNeighbors.

Context: KnnNearestNeighbors helps PLAID by containing a knn distance matrix with all of the centroids. PLAID relies on this to take each document's code and lookup that code's distance.

We can always use a sparse matrix for this instead, or perhaps XTR's imputing missing distances method would work well.