like what? adding metadata to vectors isn't by any means new, as other reply says that's just "hybrid search"
like what? adding metadata to vectors isn't by any means new, as other reply says that's just "hybrid search"
Perhaps it’s not that different than other solutions have but my impression was their payload system was more flexible and extensible than competing options, especially with the speed that Qdrant delivers, so for example pg_vector can leverage all of postgres capabilities but I don’t believe it can compete with Qdrant on vector specific problems.
This is when the relational nature of postgres really shines - you can even do in-mem calculations for distance.
You could put different categories in different shards though, resulting in the same effect.
You can also specify exact=true to do the same on any size, but this can get rather slow when your collection grows.
Disclaimer: I'm part of Qdrant.