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articles/cognitive-services/QnAMaker/Concepts/azure-resources.md

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Typically there are three parameters you need to consider:
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1. **The throughput you need from the service**: Select the appropriate [App Plan](https://azure.microsoft.com/pricing/details/app-service/plans/) for your App service based on your needs. You can [scale up](https://docs.microsoft.com/azure/app-service/manage-scale-up) or down the App. This should also influence your Azure Cognitive Search SKU selection, see more details [here](https://docs.microsoft.com/azure/search/search-sku-tier).
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* **The throughput you need from the service**: Select the appropriate [App Plan](https://azure.microsoft.com/pricing/details/app-service/plans/) for your App service based on your needs. You can [scale up](https://docs.microsoft.com/azure/app-service/manage-scale-up) or down the App. This should also influence your Azure Cognitive Search SKU selection, see more details [here](https://docs.microsoft.com/azure/search/search-sku-tier).
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1. **Size and the number of knowledge bases**: Choose the appropriate [Azure search SKU](https://azure.microsoft.com/pricing/details/search/) for your scenario. Typically, you decide number of knowledge bases you need based on number of different subject domains. Once subject domain (for a single language) should be in one knowledge base.
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* **Size and the number of knowledge bases**: Choose the appropriate [Azure search SKU](https://azure.microsoft.com/pricing/details/search/) for your scenario. Typically, you decide number of knowledge bases you need based on number of different subject domains. Once subject domain (for a single language) should be in one knowledge base.
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You can publish N-1 knowledge bases in a particular tier, where N is the maximum indexes allowed in the tier. Also check the maximum size and the number of documents allowed per tier.
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For example, if your tier has 15 allowed indexes, you can publish 14 knowledge bases (1 index per published knowledge base). The fifteenth index is used for all the knowledge bases for authoring and testing.
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1. **Number of documents as sources**: The free SKU of the QnA Maker management service limits the number of documents you can manage via the portal and the APIs to 3 (of 1 MB size each). The standard SKU has no limits to the number of documents you can manage. See more details [here](https://aka.ms/qnamaker-pricing).
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* **Number of documents as sources**: The free SKU of the QnA Maker management service limits the number of documents you can manage via the portal and the APIs to 3 (of 1 MB size each). The standard SKU has no limits to the number of documents you can manage. See more details [here](https://aka.ms/qnamaker-pricing).
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The following table gives you some high-level guidelines.
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articles/cognitive-services/QnAMaker/Concepts/content-types.md

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![Azure Blob storage semi-structured Doc](../media/qnamaker-concepts-datasources/semi-structured-doc.png)
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### Structured QnA Document
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### Structured QnA document
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The format for structured Question-Answers in DOC files, is in the form of alternating Questions and Answers per line, one question per line followed by its answer in the following line, as shown below:
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## Testing your Markdown
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Use the **[CommonMark](https://commonmark.org/help/tutorial/index.html)** tutorial to validate your Markdown. The tutorial has a **Try it** feature for quick copy/paste validation.
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## Next steps
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* Understand how to design and manage [question and answer (QnA) sets](question-answer-set.md)

articles/cognitive-services/QnAMaker/Concepts/integration-with-other-applications.md

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title: Integrate with other applications - QnA Maker
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description: Qna Maker integrates into client applications such as chat bots as well as with other natural language processing services such as Language Understanding (LUIS).
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description: QnA Maker integrates into client applications such as chat bots as well as with other natural language processing services such as Language Understanding (LUIS).
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ms.topic: conceptual
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ms.date: 01/27/2020
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## Natural language processing
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While QnA Maker processes questions that use natural language processing, it can also be used a part of a larger system that answers questions from multiple knowledge bases. You can combine QnA Maker with another Cognitive Service, Language Understanding (LUIS), to provide natural language processing before getting to a specific knowledge base. Learn more about when and how to use [LUIS and QnA Maker](../../luis/choose-natural-language-processing-service.md?toc=/azure/cognitive-services/qnamaker/toc.json) together
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While QnA Maker processes questions that use natural language processing, it can also be used a part of a larger system that answers questions from multiple knowledge bases. You can combine QnA Maker with another Cognitive Service, Language Understanding (LUIS), to provide natural language processing before getting to a specific knowledge base. Learn more about when and how to use [LUIS and QnA Maker](../../luis/choose-natural-language-processing-service.md?toc=/azure/cognitive-services/qnamaker/toc.json) together.
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## Next steps
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