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Any plan to support learned sparse vector search?

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Recently learned sparse representations have been developed to compute term weights using a neural model such as transformer based retriever and deliver strong relevance results, together with document expansion. Sparse...

I'm studying the implementation of VBase on HNSW and I have some questions regarding the iterative search mechanism. In the original searchBaseLayerST function, which is responsible for searching the top-K...