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content understanding toc updates
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articles/ai-services/content-understanding/toc.yml

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href: glossary.md
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- name: Quickstarts
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items:
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- name: Try Azure AI Foundry portal
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- name: Try Content Understanding in the Azure AI Foundry portal
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- name: Use Content Understanding with a single file
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displayName: quickstart, extract, text, images, OCR, optical character recognition, foundry, standard, mode
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- name: Try Content Understanding REST API
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displayName: quickstart, extract, text, images, OCR, optical character recognition, rest, standard, mode
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href: quickstart/use-rest-api.md
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- name: Modalities
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- name: Working with content modalities
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items:
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- name: Document
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displayName: video, audio, voice, recognition, synthesis, speaker, identification, verification, diarization, transcription, translation, language, understanding, sentiment, analysis, emotion, detection, pronunciation, model
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- name: Concepts
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items:
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- name: Analyzer templates in Azure AI Foundry
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displayName: analyzer, templates, document, text, images, video, audio, multimodal, visual, structured, content, field, extraction
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href: concepts/analyzer-templates.md
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- name: Prebuilt analyzers 🆕
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displayName: analyzer, templates, document, text, images, video, audio, multimodal, visual, structured, content, field, extraction
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href: concepts/prebuilt-analyzers.md
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- name: "Modes: standard and pro 🆕"
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displayName: standard, pro, modes, analyzers, optimization, fields
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href: concepts/standard-pro-modes.md
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- name: Best practices
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displayName: best practices, analyzers, optimization, fields
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href: concepts/best-practices.md
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- name: Analyzers
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items:
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- name: Analyzer templates in Azure AI Foundry
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displayName: analyzer, templates, document, text, images, video, audio, multimodal, visual, structured, content, field, extraction
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href: concepts/analyzer-templates.md
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- name: Prebuilt analyzers 🆕
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displayName: analyzer, templates, document, text, images, video, audio, multimodal, visual, structured, content, field, extraction
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href: concepts/prebuilt-analyzers.md
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- name: "Modes: standard and pro 🆕"
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displayName: standard, pro, modes, analyzers, optimization, fields
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href: concepts/standard-pro-modes.md
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- name: Best practices
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displayName: best practices, analyzers, optimization, fields
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href: concepts/best-practices.md
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- name: Classifiers 🆕
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items:
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- name: Overview
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displayName: classifier, text, images, video, audio, multimodal, visual, structured, content, field, extraction
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href: concepts/classifier.md
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- name: Face 🆕
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items:
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- name: Overview
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displayName: face, recognition, detection, analysis, identification, verification
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href: face/overview.md
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- name: "Tutorial: Build a person directory"
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displayName: person, directory, search, index, vector
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href: tutorial/build-person-directory.md
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- name: Tutorials
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- name: Create a custom analyzer 🆕
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- name: Build a retrieval-augmented solution
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displayName: RAG, retrieval, augmented, generation, knowledge, base, search, index, vector
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href: tutorial/build-rag-solution.md
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- name: Classifiers 🆕
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items:
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- name: Overview
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displayName: classifier, text, images, video, audio, multimodal, visual, structured, content, field, extraction
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href: concepts/classifier.md
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- name: Face 🆕
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items:
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- name: Overview
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displayName: face, recognition, detection, analysis, identification, verification
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href: face/overview.md
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- name: "Tutorial: Build a person directory"
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displayName: person, directory, search, index, vector
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href: tutorial/build-person-directory.md
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- name: Responsible AI
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- name: Transparency note

articles/ai-services/qnamaker/includes/new-version.md

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> [!NOTE]
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> The QnA Maker service is being retired on the 31st of March, 2025. A newer version of the question and answering capability is now available as part of [Azure AI Language](../../language-service/index.yml). For question answering capabilities within the Language Service, see [question answering](../../language-service/question-answering/overview.md). Starting 1st October, 2022 you wont be able to create new QnA Maker resources. For information on migrating existing QnA Maker knowledge bases to question answering, consult the [migration guide](../../language-service/question-answering/how-to/migrate-qnamaker.md).
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> The QnA Maker service is being retired on the 31st of March, 2025. A newer version of the question and answering capability is now available as part of [Azure AI Language](../../language-service/index.yml). For question answering capabilities within the Language Service, see [question answering](../../language-service/question-answering/overview.md). Starting 1st October, 2022 you won't be able to create new QnA Maker resources. For information on migrating existing QnA Maker knowledge bases to question answering, consult the [migration guide](../../language-service/question-answering/how-to/migrate-qnamaker.md).

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