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

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# Project limits and boundaries
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Question answering limits provided below are a combination of the [Azure Cognitive Search pricing tier limits](../../../search/search-limits-quotas-capacity.md) and question answering limits. Both sets of limits affect how many knowledge bases you can create per resource and how large each knowledge base can grow.
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Question answering limits provided below are a combination of the [Azure Cognitive Search pricing tier limits](../../../../search/search-limits-quotas-capacity.md) and question answering limits. Both sets of limits affect how many knowledge bases you can create per resource and how large each knowledge base can grow.
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## Knowledge bases
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The maximum number of knowledge bases is based on [Azure Cognitive Search tier limits](../../../search/search-limits-quotas-capacity.md).
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The maximum number of knowledge bases is based on [Azure Cognitive Search tier limits](../../../../search/search-limits-quotas-capacity.md).
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|**Azure Cognitive Search tier** | **Free** | **Basic** |**S1** | **S2**| **S3** |**S3 HD**|
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|---|---|---|---|---|---|----|
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## Metadata limits
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Metadata is presented as a text-based `key:value` pair, such as `product:windows 10`. It is stored and compared in lower case. Maximum number of metadata fields is based on your **[Azure Cognitive Search tier limits](../../../search/search-limits-quotas-capacity.md)**.
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Metadata is presented as a text-based `key:value` pair, such as `product:windows 10`. It is stored and compared in lower case. Maximum number of metadata fields is based on your **[Azure Cognitive Search tier limits](../../../../search/search-limits-quotas-capacity.md)**.
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If you choose to projects with multiple languages in a single language resource, there is a dedicated test index per project/knowledge base. So the limit is applied per project/knowledge base in the language service.
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* Length of file name: 200
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* Supported file formats: ".tsv", ".pdf", ".txt", ".docx", ".xlsx".
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* Maximum number of alternate questions: 300
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* Maximum number of question-answer pairs: Depends on the **[Azure Cognitive Search tier](../../search/search-limits-quotas-capacity.md#document-limits)** chosen. A question and answer pair maps to a document on Azure Cognitive Search index.
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* Maximum number of question-answer pairs: Depends on the **[Azure Cognitive Search tier](../../../../search/search-limits-quotas-capacity.md#document-limits)** chosen. A question and answer pair maps to a document on Azure Cognitive Search index.
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* URL/HTML page: 1 million characters
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## Create project call limits:

articles/cognitive-services/language-service/question-answering/concepts/plan.md

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| Resource | Purpose |
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|--|--|
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| [Language resource](azure-resources.md) resource | Authoring, query prediction endpoint and telemetry|
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| [Cognitive Search](azure-resources.md#cognitive-search-resource) resource | Data storage and search |
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| [Cognitive Search](azure-resources.md#azure-cognitive-search-resource) resource | Data storage and search |
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### Resource planning
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When you build a real app, plan sufficient resources for the size of your knowledge base and for your expected query prediction requests.
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A knowledge base size is controlled by the:
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* [Cognitive Search resource](../../../search/search-limits-quotas-capacity.md) pricing tier limits
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* [Cognitive Search resource](../../../../search/search-limits-quotas-capacity.md) pricing tier limits
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* [Question answering limits](./limits.md)
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The knowledge base query prediction request is controlled by the web app plan and web app. Refer to [recommended settings](azure-resources.md#recommended-settings) to plan your pricing tier.
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If your knowledge base isn't functioning properly, it's typically an issue of improper resource management.
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Improper resource selection requires investigation to determine which [resource needs to change](azure-resources.md#when-to-change-a-pricing-tier).
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Improper resource selection requires investigation to determine which [resource needs to change](azure-resources.md#pricing-tier-considerations).
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## Project
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### Active learning from a client application
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Question answering uses _active learning_ to improve your knowledge base by suggesting alternate questions to an answer. The client application is responsible for a part of this [active learning](../How-To/use-active-learning.md). Through conversational prompts, the client application can determine that the knowledge base returned an answer that's not useful to the user, and it can determine a better answer. The client application needs to send that information back to the knowledge base to improve the prediction quality.
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Question answering uses _active learning_ to improve your knowledge base by suggesting alternate questions to an answer. The client application is responsible for a part of this [active learning](../tutorials/active-learning.md). Through conversational prompts, the client application can determine that the knowledge base returned an answer that's not useful to the user, and it can determine a better answer. The client application needs to send that information back to the knowledge base to improve the prediction quality.
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### Providing a default answer
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