> I am now wondering if anyone has done a graph db where the edges are embedding vectors rather than strict terms.
Curious: how would you imagine it working if there were such a graph db?
Curious: how would you imagine it working if there were such a graph db?
First of all, consider that in a way each edge label is a one-hot binary vector. And we search using only binary methods. A consequence is anything outside of that very narrow path all data is missed in a search. A simple step could be to change that to anything within an X similarity to some target vector. Could you then search "(fixed term) is a love interest of b?" and have b? filled from facts like "(fixed term) is intimate with Y" and "(fixed term) has a date with Z"?
There are probably issues, I'm sure there are, but some blend of querying but with some fuzziness feels potentially useful.