Increase embedding TPM capacity and add note in cloud ingestion guide

[pamelafox]

Purpose

Some developers have tried out the cloud ingestion approach already and ran into errors due to rate limits with the embedding model. This PR increases the embedding TPM default capacity to 200 and adds a note to the ingestion guide about how to increase even farther. It seems that this is a safe capacity to request, as Azure OpenAI quotas seem to default quite high for embedding models, at least in my account.

Does this introduce a breaking change?

When developers merge from main and run the server, azd up, or azd deploy, will this produce an error?
If you're not sure, try it out on an old environment.

[ ] Yes
[X] No

Does this require changes to learn.microsoft.com docs?

This repository is referenced by this tutorial
which includes deployment, settings and usage instructions. If text or screenshot need to change in the tutorial,
check the box below and notify the tutorial author. A Microsoft employee can do this for you if you're an external contributor.

[ ] Yes
[X] No

Type of change

[ ] Bugfix
[ ] Feature
[ ] Code style update (formatting, local variables)
[ ] Refactoring (no functional changes, no api changes)
[ ] Documentation content changes
[X] Other... Please describe:

Code quality checklist

See CONTRIBUTING.md for more details.

• The current tests all pass (python -m pytest).
• I added tests that prove my fix is effective or that my feature works
• I ran python -m pytest --cov to verify 100% coverage of added lines
• I ran python -m mypy to check for type errors
• I either used the pre-commit hooks or ran ruff and black manually on my code.

[Copilot]

Pull request overview

This PR increases the default embedding model capacity to address rate limit issues encountered during cloud ingestion. The default capacity changes from 30K TPM to 200K TPM, which aligns with typical Azure OpenAI quota defaults for embedding models.

Key Changes:

• Increased default embedding deployment capacity from 30 to 200 in infrastructure configuration
• Added optional configuration step in cloud ingestion guide recommending capacity increase to 400

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
infra/main.bicep	Updated default embedding deployment capacity from 30 to 200
docs/data_ingestion.md	Added recommended step to increase embedding capacity to 400 for cloud ingestion, renumbered subsequent steps accordingly

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[pamelafox]

We suddenly started getting markdownlint errors, and in debugging, I realized that our markdownlint action was deprecated in favor of this one. David Anson also authors the VS Code extension that we recommend in the repo configuration, so this makes CI consistent with VS Code errors, in theory.

[mattgotteiner]

sounds good

[mattgotteiner]

;)

[pamelafox]

The default markdown files like SECURITY.md are riddled with issues, and we seemed to ignore them before, so I ignored them again here. Could fix em up in future.