Hacker News Reader

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.

View on HN

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

Thanks for the feedback and questions - really appreciate it.

Why not semantic search?

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.

Reply on news.ycombinator.com