Azure Content Understanding in Foundry Tools

In the Ultra Transcenders books

AI-901AI-103

Each book explains Azure Content Understanding in Foundry Tools in context, with comparison tables and the common traps.

Terms in this definition

• Chat message roles

  Labels on chat messages: instructions go under system, the person's input under user, the model's previous answers under assistant, and results returned by a called tool under tool (or function).

• Generative AI

  AI that produces new content such as code, text, audio or images in response to a prompt. Predicting a class or a numeric value is predictive machine learning rather than generative AI.

• TURN

  If a direct link can't be made, RDP Shortpath for Windows 365 relays UDP traffic via Microsoft servers on port 3478 instead.

• VALUES

  Returns in DAX the distinct column values, or table rows, still visible after filters are applied, sometimes with an extra blank entry. CALCULATE often takes the result as a table filter.

Related terms

• AIServices (resource kind)

  Setting kind to AIServices creates the multi-service Microsoft Foundry resource, which Microsoft recommends; Speech, Vision, Language, Azure OpenAI and Content Understanding are then reached with a single credential at a single endpoint.

• Alt text (Image Analysis)

  Image description for accessibility, produced by Image Analysis captioning above a confidence threshold. New solutions should prefer Content Understanding or a multimodal model.

• AnalysisResult

  Object that poller.result() returns in Content Understanding; its JSON body carries the extracted fields and markdown content.

• Azure OpenAI

  Use of OpenAI models in Azure, including GPT, o-series, embeddings, image and Whisper, through either a Foundry resource or an Azure OpenAI resource. Content Understanding isn't available from a standalone Azure OpenAI resource.

• Content extraction

  Content Understanding begins here, converting whatever comes in to text plus metadata, by transcribing audio and video or by running OCR and layout analysis on documents.

• Content Understanding agentic mode

  In preview from API version 2026-06-01-preview, this Content Understanding mode works through the evidence in a document to validate content and perform calculations; to begin with, each request takes a single file.

• Content Understanding analyzer

  Defines in Content Understanding how input is processed and what fields come out, either through a prebuilt analyzer or through a field schema you write yourself.

• Content Understanding service limits

  Caps on what Content Understanding accepts; for documents, supported formats are PDF, TIFF, JPEG, PNG, BMP, HEIF/HEIC and Office files, while WebP is not.