Add media description feature using Azure Content Understanding #2195
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Purpose
This PR adds a new optional feature that will extract figures in documents (using Azure Document Intelligence) figures output mode and send those figures to Azure Content Understanding (a new service that uses multimodal models) to generate a figure description. It will then insert that figure description into the content, which will then get sent for chunking. If the figure is of a graph or chart, it will include an HTML table with the data.
This gives developers a more lightweight approach to ingest media-rich documents and can be compared to the more heavyweight GPT-4-vision approach.
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.
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.
Type of change
Code quality checklist
See CONTRIBUTING.md for more details.
python -m pytest
).python -m pytest --cov
to verify 100% coverage of added linespython -m mypy
to check for type errorsruff
andblack
manually on my code.