alt Hacker News> Enterprise knowledge has always been as much a human problem as a technology one. Nobody wants to do the structuring work, and every prior architecture demanded that somebody do the structuring work rather than their actual job
This is correct and very agreeable to everyone, but then after some waffle they then write this:
> Structure, for the first time, can be produced from content instead of demanded from people
These quotes are very much at odds. Where is this structure and content supposed to come from if you just said that nobody makes it? Nowhere in that waffle is it explained clearly how this is really supposed to work. If you want to sell AI and not just grift, this is the part people are hung up on. Elsewhere in the article are stats on hallucination rates of the bigger offerings, and yet there's nothing to convince anyone this will do better other than a pinky promise.
I think the explanation comes later in the article:
"It is graph-native - not a vector database with graph features bolted on, not a document store with a graph view, but a graph at it's core - because the multi-hop question intelligent systems actually have to answer cannot be answered by cosine similarity over chunked text, no matter how much AI you paste on top."
And
"It has a deterministic harness around its stochastic components. The language model proposes but the scaffolding verifies. Every inference, every tool call, every state change is captured in an immutable ledger as first-class data and this is what makes non-deterministic components safe to deploy where determinism is required."