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Using Azure OpenAI Studio, you can upload files from your machine to try Azure OpenAI On Your Data. You also have the option to create a new Azure Blob Storage account and Azure AI Search resource. The service then stores the files to an Azure storage container and performs ingestion from the container. You can use the [quickstart](../use-your-data-quickstart.md) article to learn how to use this data source option.
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You can paste URLs and the service will store the webpage content, using it when generating responses from the model. The content in URLs/web addresses that you use need to have the following characteristics to be properly ingested:
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Once you have added the URL/web address for data ingestion, the web pages from your URL are fetched and saved to Azure Blob Storage with a container name: `webpage-<index name>`. Each URL will be saved into a different container within the account. Then the files are indexed into an Azure AI Search index, which is used for retrieval when you’re chatting with the model.
You can connect to your [Elasticsearch vector database](https://www.elastic.co/guide/en/elasticsearch/reference/current/elasticsearch-intro.html) and chat with your data.
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|`allow_partial_result`| integer | False | If specified as true, the system will allow partial search results to be used and the request fails if all the queries fail. If not specified, or specified as false, the request will fail if any search query fails. |
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|`include_contexts`| array | False | The included properties of the output context. If not specified, the default value is `citations` and `intent`. Values can be `citations`,`intent`, `all_retrieved_documents`.|
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## API key authentication options
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The authentication options for Azure OpenAI On Your Data when using an API key.
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