[molodec]

There are many great algorithms that outperform LSH on ANN vector search, but vectorization in itself a high-compute task, which ads latency and require GPUs, but this is not reported in benchmarks. For text LSH hash can be efficiently created directly from tokens. Of course, this does not work for semantic similarity, but can be used for lexical similarity search.

By the way. I enjoyed listening the interview with you on Practical AI podcast!