>"When it comes to vector search, it's not just about matching words. Understanding the meaning behind them is equally important."

This statement ^ is clearly incorrect on its premise -semantic meaning is already vectorized, and the problems with that are old news and have little to do w indexing.

I went through the article though, and realized the company is probably on its last legs - an effort that was interesting 2 years ago for about a week, but funded by non-developers without any gauge of reality.

If this was a solved problem, every e-com website would already run some variant of https://arxiv.org/pdf/2209.07663 for all their shopping surfaces and some version of "deep research" on every search query. They don't, so the problem isn't solved. And a big part of the problem is still the integration of behavioral, structured and unstructured signals into the underlying retrieval of products and content - which is what the article is about.

Also, the company is doing fine, not sure where that last sentence came from ^_^