Semantic hash tables enable fuzzy key Value storage

In a hash table, queries are hashed and then matched against existing keys in efficient ways. However, vanilla hash tables are still location-based storage, because the key semantics are ignored. However, if one hashed keys using semantic embeddings, one could look for close keys in semantic space. In this, semantic hash tables enable fuzzy key-value storage. Just like hash tables could be distributed, so might semantic hash tables.