Yes this is funny to read when (a) embeddings are such a huge leap in reusable machine learning investment and (b) almost nobody is using them yet. On the other hand, neural hashes do look similar to the density tree analysis that is the first step in many of our applications of language embeddings. It makes sense to me that some of this might be incorporated into vector dbs in the near future. Do you have plans to?