[jn2clark]

I think it depends a bit on the definition of search here. It might satisfy a literal definition of search but not search as users would expect - which I think is the important point. IMHO vector similarity and vector search are conflated too much and solving search problems as users expect them requires more than similarity.

[loxias]

I think you might be on to something, in thinking about it in terms of the platform from the perspective of the end user, and what they build on it.

I humbly posit that you might be better off, at least from a communications/marketing perspective, ditching the "vector search without vectors" verbage because that alienates the segment that, uh, for lack of a better term, loves and understands high dimensional applied math, and computers. :)

Perhaps instead find language that couches it as an entirely new category. Blue ocean. Ditch the word "vector" entirely.

-$0.02

[jn2clark]

Thanks for the feedback and questions - really appreciate it.

[_false]

Why not semantic search?

[rmilejczz]

Definitely, RAG programs often grab lots of unneeded context and sometimes miss crucial context. Improving this would be huge imo, for example in something like cursor.