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articles/ai-services/language-service/question-answering/concepts/azure-resources.md

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description: Question answering uses several Azure sources, each with a different purpose. Understanding how they are used individually allows you to plan for and select the correct pricing tier or know when to change your pricing tier. Understanding how they are used in combination allows you to find and fix problems when they occur.
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ms.service: azure-ai-language
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ms.topic: conceptual
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author: laujan
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ms.author: lajanuar
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ms.date: 11/21/2024
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ms.custom: language-service-question-answering
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articles/ai-services/language-service/question-answering/concepts/best-practices.md

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title: Best practices - custom question answering
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description: Use these best practices to improve your project and provide better results to your application/chat bot's end users.
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ms.service: azure-ai-language
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author: laujan
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ms.author: lajanuar
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ms.topic: conceptual
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ms.date: 11/21/2024
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ms.custom: language-service-question-answering

articles/ai-services/language-service/question-answering/concepts/confidence-score.md

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description: When a user query is matched against a knowledge base, custom question answering returns relevant answers, along with a confidence score.
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#services: cognitive-services
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manager: nitinme
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author: jboback
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author: laujan
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ms.author: lajanuar
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ms.service: azure-ai-language
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ms.topic: conceptual
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ms.date: 11/21/2024

articles/ai-services/language-service/question-answering/concepts/limits.md

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title: Limits and boundaries - custom question answering
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description: Custom question answering has meta-limits for parts of the knowledge base and service. It is important to keep your knowledge base within those limits in order to test and publish.
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ms.service: azure-ai-language
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author: laujan
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articles/ai-services/language-service/question-answering/concepts/plan.md

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title: Plan your app - custom question answering
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description: Learn how to plan your custom question answering app. Understand how custom question answering works and interacts with other Azure services and some project concepts.
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ms.service: azure-ai-language
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author: jboback
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author: laujan
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ms.author: lajanuar
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ms.topic: conceptual
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articles/ai-services/language-service/question-answering/concepts/precise-answering.md

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description: Understand Precise answering feature available in custom question answering.
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ms.service: azure-ai-language
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ms.topic: conceptual
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ms.date: 11/21/2024
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articles/ai-services/language-service/question-answering/concepts/project-development-lifecycle.md

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title: Project lifecycle - custom question answering
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description: Custom question answering learns best in an iterative cycle of model changes, utterance examples, deployment, and gathering data from endpoint queries.
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ms.service: azure-ai-language
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ms.topic: conceptual
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articles/ai-services/language-service/question-answering/how-to/analytics.md

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description: Custom question answering uses Azure diagnostic logging to store the telemetry data and chat logs
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#services: cognitive-services
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manager: nitinme
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author: jboback
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displayName: chat history, history, chat logs, logs
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ms.service: azure-ai-language
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ms.topic: how-to

articles/ai-services/language-service/question-answering/how-to/authoring.md

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titleSuffix: Azure AI services
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description: Use the custom question answering Authoring API to automate common tasks like adding new question answer pairs, and creating, and publishing projects.
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ms.service: azure-ai-language
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articles/ai-services/language-service/question-answering/how-to/best-practices.md

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ms.service: azure-ai-language
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ms.subservice: azure-ai-qna-maker
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ms.topic: how-to
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recommendations: false
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ms.date: 11/21/2024
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