These comparisons are way out of context.

These comparisons are way out of context.

We cannot compare a stack that solves everything within the same framework with another framework that uses pluggable pieces of Azure services.
For example: Azure's OpenAi service supports .md, .txt, .html and .pdf types in its semantic searches. The semantic kernel would only integrate with these services. (which makes the comparison a bit

I suggest taking a look at:
- https://www.linkedin.com/pulse/langchain-ou-semantic-kernel-qual-deles-atende-%C3%A0s-do-seu-toni-/?originalSubdomain=pt
- https://devblogs.microsoft.com/semantic-kernel/getting-started-with-semantic-kernel-for-langchain-users/
- https://github.com/gopitk/dlai-sk/blob/main/L6-SK-Agents.ipynb

Start by reviewing the repository's existing comparison content, then read the linked Semantic Kernel guidance and the referenced L6-SK-Agents.ipynb. Done means the comparison's scope and treatment of Azure service integrations are revised in response to the concerns raised.

Written by the indexing model from the issue text.