Storing word / document vectors in RDBMS

I'm curious to know if anyone has experience storing word or document embeddings in SQL DBs?

Whenever I've worked with trained word / document embeddings, I've stored the models as blobs on disk. Just curious about practice and experience elsewhere.

I've recently stumbled upon smaller projects, like FREDDY ([https://github.com/guenthermi/postgres-word2vec](https://github.com/guenthermi/postgres-word2vec)), a Postgres extension that looks interesting. The ability to write ad-hoc similarity queries in SQL seems like it might be valuable in some circumstances. I'm not sure about performance or storage …

languagetechnology vectors