In ParadeDB, the analogous query to the relevance-sorted query above would be:
Many people reading this will call bullshit on the performance improvement metrics, and honestly, fair. I too thought the agents would stumble in hilarious ways trying, but they did not. To demonstrate that I am not bullshitting, I also decided to release a more simple Rust-with-Python-bindings project today: nndex, an in-memory vector “store” that is designed to retrieve the exact nearest neighbors as fast as possible (and has fast approximate NN too), and is now available open-sourced on GitHub. This leverages the dot product which is one of the simplest matrix ops and is therefore heavily optimized by existing libraries such as Python’s numpy…and yet after a few optimization passes, it tied numpy even though numpy leverages BLAS libraries for maximum mathematical performance. Naturally, I instructed Opus to also add support for BLAS with more optimization passes and it now is 1-5x numpy’s speed in the single-query case and much faster with batch prediction. 3 It’s so fast that even though I also added GPU support for testing, it’s mostly ineffective below 100k rows due to the GPU dispatch overhead being greater than the actual retrieval speed.
，这一点在safew中也有详细论述
但要注意的是，这项权益是否能够发挥实际的价值，还是要看比亚迪闪充的铺设情况。以李壹壹目前所在的广东东莞为例，目前的比亚迪闪充站点还并不算密集。
Политолог указал на уникальное для США негативное последствие атаки на Иран14:46
"There are days where I feel like, 'what the hell am I doing here?' because there are days that it would really take its toll on you".