weizijun commented on issue #12615:
URL: https://github.com/apache/lucene/issues/12615#issuecomment-2511299239
hi, all:
Is there any latest progress on Lucene's diskann? We found that in the
RAG scenario, the document data volume is very large and all of it is stored in
memory, which consumes a lot of resources. SQ is used to reduce memory
overhead, but excessive scalar quantization will lead to a decrease in recall
rate. The overhead of knn query accounts for a small proportion of the entire
RAG process. Users expect to have a disk-based knn query solution, where the
query performance does not decrease significantly and the vector data does not
need to be stored in memory.
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