I was hopeful this would be useful, as it’s a relevant decision for me right now. Sadly, like most LLM articles I’ve even able to find, it reads like it was written by an AI.
seconded sibling comment's advice. just do it yourself. the overhead of learning these frameworks is not worth it because they aren't doing anything groundbreaking.
having tried them both, they are nearly the same with different semantics. langchain (python) had more libs and prebuilt integrations though.
Do not do it. They will teach you how to use their pointless abstractions which will mean when things don’t work right, you will have to traverse many libraries to figure out what is going wrong.
They will make a lot of things seem very easy, such as embeddings, but you will end up with a one size fits all solution that you don’t understand.
Semantic Kernel is one of the worst. They are always just one version away from the panacea of multi agent workflows, but unfortunately you’re going to have to blow up what you just built to implement the new version because reasons… Oh and can you load that into promptflow for me?. Know how those agents are really slow? You should buy provisioned AzureOpenAI throughput from us. For 24 low payments of 99999999999/mo..
Brilliant people working on this stuff with good intentions (the usual suspects), but everyone is trying to be on the bleeding edge and the bleeding edge changes quite a lot, leaving technical debt to be stumbled over.
Try some of your own libraries. When you find yourself doing something where you say “surely this has been done a million times” go out and take a look around and draw inspiration or bring the tools into your workflow, but don’t start that way if you can avoid it.
