So I just brute forced every UUID in existence on my RTX GPU and loaded the dataset into a HA opensearch cluster on AWS. It took about 5 years of calling ‘uuid.Random()’ to effectively cover about 64% of the keyspace which is good enough.

To facilitate full-text search I created a langchain application in python, hosted on kubernetes, that takes your search query and generates synonymous UUIDs via GPT o1-preview before handing over to opensearch.

Opensearch returns another set of UUIDs, which I look up in my postgres database: “SELECT uuid FROM uuids WHERE id IN (…uuid_ids)”