Welcome to the community!
That is a bit of a loaded question!
I would say yes, yes it can. However, while you can certainly load the whole articles into Ada, Ada will only look at the beginning of the article. Title, abstract, maybe part of the first paragraph if you’re lucky. All the other tokens are pretty much ignored.
While this sounds pretty bad, I would still mention that in most cases, that’s enough for use-cases similar to yours.
the text embedding 3 models, on the other hand, have a better track record of looking at the entire text. However, they have a tendency to fixate on certain topics - if your articles have are more complex and contain multiple topics, you might run into unexpected issues with the new embedding models.
In any case, a summary => embedding seems to work best, but is considerably more expensive.
I would suggest you do a test run with plain old ada and see how it goes. After that, you can always upgrade to more sophisticated methods.