The constraint I, and I bet many here, have is just how much data there is. 3GB like in the 2014 article is one .pdf
Enterprise level data store is measured in hundreds of GB for a single customer, and you'll get murdered on data egress costs if you try to search an entire corpus, if you can even get through it all before the request times out or the customer decides after 5 minutes that enough is enough.
You'd need a true distributed filesystem to even start attempting what the authors suggest at any scale outside of your local machine.
I don't think it contradicts the OP. OP says the system is unreliable. Memory leaks that lead to out of memory failures for example. Smart pointers would stabilize things. (Also note that OP says their smart pointers PR was rejected).
This is a small April Fools' project I created while exploring git commit hooks. I wondered if you could fail a commit based on the commit hash itself. Turns out you can't; you have to wait until the post-commit hook fires, and then do a reset on failure. Eventually I decided to see just how far I could take it, and well, now there's an official website and python sdk distributed through pip.
>the whole article assumes the only language in the world is Python.
This was my take as well.
My company recently started using Dspy, but you know what? We had to stand up an entire new repo in Python for it, because the vast majority of our code is not Python.
Really appreciate it. I love mixing humor with technical communication. This post is topical because strangely I encountered GUID truncation three times in the last week.
The constraint I, and I bet many here, have is just how much data there is. 3GB like in the 2014 article is one .pdf
Enterprise level data store is measured in hundreds of GB for a single customer, and you'll get murdered on data egress costs if you try to search an entire corpus, if you can even get through it all before the request times out or the customer decides after 5 minutes that enough is enough.
You'd need a true distributed filesystem to even start attempting what the authors suggest at any scale outside of your local machine.