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Copy file name to clipboardExpand all lines: articles/ai-services/agents/how-to/tools/file-search.md
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@@ -73,7 +73,7 @@ Vector store objects give the file search tool the ability to search your files.
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Similarly, these files can be removed from a vector store by either:
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* Deleting the vector store file object or,
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* By deleting the underlying file object (which removes the file it from all vector_store and code_interpreter configurations across all agents and threads in your organization)
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* By deleting the underlying file object, which removes the file it from all vector_store and code_interpreter configurations across all agents and threads in your organization
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The maximum file size is 512 MB. Each file should contain no more than 5,000,000 tokens per file (computed automatically when you attach a file).
Copy file name to clipboardExpand all lines: articles/ai-services/agents/includes/azure-search/setup.md
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## Setup: Create an agent that can use an existing Azure AI Search index
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#### Prerequisite: Have an existing Azure AI Search index
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A prerequisite of using the Azure AI Search tool is to have an existing Azure AI Search index. If you don't have an existing index, you can create one in the Azure portal or via REST API.
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-[Quickstart: Create a vector index using the Azure portal](../../../../search/search-get-started-portal-import-vectors.md)
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-[Quickstart: Create a vector index using REST API](../../../../search/search-get-started-vector.md)
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A prerequisite of using the Azure AI Search tool is to have an existing Azure AI Search index. If you don't have an existing index, you can create one in the Azure portal using the import and vectorize data wizard.
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-[Quickstart: Create a vector index with the import and vectorize data wizard in the Azure portal](../../../../search/search-get-started-portal-import-vectors.md)
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#### Complete the agent setup
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#### Create a project connection to the Azure AI Search resource with the index you want to use
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If you already connected the AI Search resource that contains the index you want to use to your project, skip this step.
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Once you have completed the standard agent setup, you must create a project connection to the Azure AI Search resource that contains the index you want to use.
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If you already connected the AI Search resource that contains the index you want to use to your project, skip this step.
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##### Get your Azure AI Search resource connection key and endpoint
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1. Access your Azure AI Search resource.
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**Create the following connections.yml file**
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You can use either an API key or credential-less YAML configuration file. For more information on the YAML configuration file, see the [Azure AI Search connection YAML schema](../../../../machine-learning/reference-yaml-connection-ai-search.md):
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You can use either an API key or credential-less YAML configuration file. Replace the ```endpoint``` and ```api_key`` values. For more information on the YAML configuration file, see the [Azure AI Search connection YAML schema](../../../../machine-learning/reference-yaml-connection-ai-search.md).
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- API Key example:
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```yml
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name: myazaics_apk
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name: my_project_acs_connection_keys
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type: azure_ai_search
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endpoint: https://contoso.search.windows.net/
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api_key: XXXXXXXXXXXXXXX
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