Not only 3/3 but also includes full text search built in. Tables look like:
MyThingEmbedding
______
id primary key
mything_id integer -- fkey to mything table
embedding vector(1536)
fulltext tsvector
GIN index on tsvector
HSNW index on embedding
Then you can pull results that match either the tsvector AND/OR the similarity with a single query, and it's pretty performant. You can also choose at the query level whether you want exact matching or fuzzy.
