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articles/ai-services/openai/references/azure-search.md

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| `endpoint`|string|True|Specifies the resource endpoint URL from which embeddings should be retrieved. It should be in the format of `https://{YOUR_RESOURCE_NAME}.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT_NAME/embeddings`. The api-version query parameter isn't allowed.|
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| `authentication`| [ApiKeyAuthenticationOptions](#api-key-authentication-options)|True | Specifies the authentication options to use when retrieving embeddings from the specified endpoint.|
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| `type`|string|True| Must be `endpoint`.|
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| `dimensions`|integer|False| The number of dimensions the embeddings should have. Only supported in `text-embedding-3` and later models. |
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| `dimensions`|integer|False| The number of dimensions the embeddings should have. Only supported in `text-embedding-3` and later models. This is supported in the api version 2024-10-21. |
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## Fields mapping options

articles/search/samples-dotnet.md

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articles/search/samples-java.md

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---
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title: Java samples
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title: Java Samples
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titleSuffix: Azure AI Search
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description: Find Azure AI Search demo Java code samples that use the Azure .NET SDK for Java.
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- devx-track-extended-java
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# Java samples for Azure AI Search
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| [Search index creation](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/indexes/CreateIndexExample.java) | Demonstrates how to create [search indexes](search-what-is-an-index.md). |
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| [Synonym creation](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/SynonymMapsCreateExample.java) | Demonstrates how to create [synonym maps](search-synonyms.md). |
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| [Search indexer creation](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/indexes/CreateIndexerExample.java) | Demonstrates how to create [indexers](search-indexer-overview.md). |
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| [Search indexer data source creation](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/indexes/DataSourceExample.java) | Demonstrates how to create indexer data sources, required for indexer-based indexing of [supported Azure data sources](search-indexer-overview.md#supported-data-sources). |
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| [Skillset creation](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/indexes/CreateSkillsetExample.java) | Demonstrates how to create [skillsets](cognitive-search-working-with-skillsets.md) that are attached indexers, and that perform AI-based enrichment during indexing. |
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| [Search indexer data source creation](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/indexes/DataSourceExample.java) | Demonstrates how to create indexer data sources, which are required for indexer-based indexing of [supported Azure data sources](search-indexer-overview.md#supported-data-sources). |
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| [Skillset creation](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/indexes/CreateSkillsetExample.java) | Demonstrates how to create [skillsets](cognitive-search-working-with-skillsets.md) that are attached to indexers and perform AI-based enrichment during indexing. |
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| [Load documents](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/IndexContentManagementExample.java) | Demonstrates how to upload or merge documents into an index in a [data import](search-what-is-data-import.md) operation. |
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| [Query syntax](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/SearchAsyncWithFullyTypedDocumentsExample.java) | Demonstrates how to set up a [basic query](search-query-overview.md). |
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| [Vector search](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/src/samples/java/com/azure/search/documents/VectorSearchExample.java) | Demonstrates how to set up a vector field and then generate a [vector query](vector-search-how-to-query.md). |

articles/search/samples-javascript.md

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title: JavaScript samples
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title: JavaScript Samples
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# JavaScript samples for Azure AI Search
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| Samples | Description |
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|---------|-------------|
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| [indexes](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/javascript) | Demonstrates how to create, update, get, list, and delete [search indexes](search-what-is-an-index.md). This sample category also includes a service statistic sample. |
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| [dataSourceConnections (for indexers)](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/javascript/dataSourceConnectionOperations.js) | Demonstrates how to create, update, get, list, and delete indexer data sources, required for indexer-based indexing of [supported Azure data sources](search-indexer-overview.md#supported-data-sources). |
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| [dataSourceConnections (for indexers)](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/javascript/dataSourceConnectionOperations.js) | Demonstrates how to create, update, get, list, and delete indexer data sources, which are required for indexer-based indexing of [supported Azure data sources](search-indexer-overview.md#supported-data-sources). |
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| [indexers](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/javascript) | Demonstrates how to create, update, get, list, reset, and delete [indexers](search-indexer-overview.md).|
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| [skillSet](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/javascript) | Demonstrates how to create, update, get, list, and delete [skillsets](cognitive-search-working-with-skillsets.md) that are attached indexers, and that perform AI-based enrichment during indexing. |
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| [skillSet](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/javascript) | Demonstrates how to create, update, get, list, and delete [skillsets](cognitive-search-working-with-skillsets.md) that are attached to indexers and perform AI-based enrichment during indexing. |
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| [synonymMaps](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/javascript) | Demonstrates how to create, update, get, list, and delete [synonym maps](search-synonyms.md). |
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| [VectorSearch](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v12-beta/javascript/vectorSearch.js) | Demonstrates how to index vectors and send a [vector query](vector-search-how-to-query.md). |
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| Samples | Description |
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|---------|-------------|
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| [indexes](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/typescript/src) | Demonstrates how to create, update, get, list, and delete [search indexes](search-what-is-an-index.md). This sample category also includes a service statistic sample. |
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| [dataSourceConnections (for indexers)](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/typescript/src/dataSourceConnectionOperations.ts) | Demonstrates how to create, update, get, list, and delete indexer data sources, required for indexer-based indexing of [supported Azure data sources](search-indexer-overview.md#supported-data-sources). |
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| [dataSourceConnections (for indexers)](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/typescript/src/dataSourceConnectionOperations.ts) | Demonstrates how to create, update, get, list, and delete indexer data sources, which are required for indexer-based indexing of [supported Azure data sources](search-indexer-overview.md#supported-data-sources). |
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| [indexers](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/samples/v11/typescript/src) | Demonstrates how to create, update, get, list, reset, and delete [indexers](search-indexer-overview.md).|
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| [skillSet](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/typescript/src/skillSetOperations.ts) | Demonstrates how to create, update, get, list, and delete [skillsets](cognitive-search-working-with-skillsets.md) that are attached indexers, and that perform AI-based enrichment during indexing. |
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| [skillSet](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/typescript/src/skillSetOperations.ts) | Demonstrates how to create, update, get, list, and delete [skillsets](cognitive-search-working-with-skillsets.md) that are attached to indexers and perform AI-based enrichment during indexing. |
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| [synonymMaps](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v11/typescript/src/synonymMapOperations.ts) | Demonstrates how to create, update, get, list, and delete [synonym maps](search-synonyms.md). |
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| [VectorSearch](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/samples/v12/typescript/src/vectorSearch.ts) | Demonstrates how to index vectors and send a [vector query](vector-search-how-to-query.md). |
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## Other samples
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| Samples | Description |
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| [azure-search-vector-sample.js](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-javascript/readme.md) | Vector search sample using the Azure SDK for JavaScript |
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| [azure-search-vector-sample.js](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-javascript/readme.md) | Vector search sample using the Azure SDK for JavaScript. |

articles/search/samples-python.md

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# Python samples for Azure AI Search
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Code samples from the Azure SDK development team demonstrate API usage. You can find these samples in [**azure-sdk-for-python/tree/main/sdk/search/azure-search-documents/samples**](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/search/azure-search-documents/samples) on GitHub.
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[**azure-search-vector-samples**](https://github.com/Azure/azure-search-vector-samples/blob/main/README.md) on GitHub provides a comprehensive collection of samples for vector search scenarios, organized by scenario or technology.
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[**azure-search-openai-demo**](https://github.com/Azure-Samples/azure-search-openai-demo/blob/main/README.md) is a ChatGPT-like experience over enterprise data with Azure OpenAI Python code showing how to use Azure AI Search with the large language models in Azure OpenAI. For background, see this Tech Community blog post: [Revolutionize your Enterprise Data with ChatGPT](https://techcommunity.microsoft.com/t5/ai-applied-ai-blog/revolutionize-your-enterprise-data-with-chatgpt-next-gen-apps-w/ba-p/3762087). |
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[**azure-search-openai-demo**](https://github.com/Azure-Samples/azure-search-openai-demo/blob/main/README.md) is a ChatGPT-like experience over enterprise data with Azure OpenAI Python code showing how to use Azure AI Search with the large language models in Azure OpenAI. For background, see this [Tech Community blog post](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/revolutionize-your-enterprise-data-with-chatgpt-next-gen-apps-w-azure-openai-and/3762087).
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[**aisearch-openai-rag-audio**](https://github.com/Azure-Samples/aisearch-openai-rag-audio) is "voice to RAG". This sample demonstrates a simple architecture for voice-based generative AI applications that enables Azure AI Search RAG on top of the real-time audio API with full-duplex audio streaming from client devices, while securely handling access to both model and retrieval system. Backend code is written in Python. Frontend code is JavaScript. [Watch this video](https://www.youtube.com/watch?v=vXJka8xZ9Ko) for an introduction. |
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[**aisearch-openai-rag-audio**](https://github.com/Azure-Samples/aisearch-openai-rag-audio) is "voice to RAG". This sample demonstrates a simple architecture for voice-based generative AI applications that enables Azure AI Search RAG on top of the real-time audio API with full-duplex audio streaming from client devices, while securely handling access to both the model and retrieval system. Backend code is written in Python, while frontend code is written in JavaScript. For an introduction, watch this [video](https://www.youtube.com/watch?v=vXJka8xZ9Ko).
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| [index-backup-and-restore.ipynb](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python/code/utilities/index-backup-restore) | Uses the **azure.search.documents** library in the Azure SDK for Python to make a local copy of the retrievable fields of a search index, and then push those fields to a new search index. |
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| [index-backup-and-restore.ipynb](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python/code/utilities/index-backup-restore) | Uses the **azure.search.documents** library in the Azure SDK for Python to make a local copy of the retrievable fields of a search index and then push those fields to a new search index. |
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| [resumable-index-backup-restore](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/utilities/resumable-index-backup-restore/backup-and-restore.ipynb) | This sample accommodates larger indexes exceeding 100,000 documents.|
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