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articles/search/samples-dotnet.md

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ms.topic: conceptual
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ms.date: 08/16/2024
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ms.topic: concept-article
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ms.date: 10/18/2024
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# C# samples for Azure AI Search
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| API reference | [azure.search.documents](/dotnet/api/azure.search.documents) |
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| API test cases | [github.com/Azure/azure-sdk-for-net/tree/main/sdk/search/Azure.Search.Documents/tests](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/search/Azure.Search.Documents/tests) |
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| Source code | [github.com/Azure/azure-sdk-for-net/tree/main/sdk/search/Azure.Search.Documents/src](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/search/Azure.Search.Documents/src) |
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| Change log | [https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/search/Azure.Search.Documents/CHANGELOG.md](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/search/Azure.Search.Documents/CHANGELOG.md) |
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## SDK samples
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| [quickstart-semantic-search](https://github.com/Azure-Samples/azure-search-dotnet-samples/blob/main/quickstart-semantic-search/) | [Quickstart: Semantic ranking using the Azure SDKs](search-get-started-semantic.md) | Shows the index schema and query request for invoking semantic ranker. |
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| [search-website](https://github.com/Azure-Samples/azure-search-static-web-app) | [Tutorial: Add search to web apps](tutorial-csharp-overview.md) | Demonstrates an end-to-end search app that includes bulk upload using the push APIs and a rich client for hosting the app and handling search requests.|
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| [tutorial-ai-enrichment](https://github.com/Azure-Samples/azure-search-dotnet-samples/tree/main/tutorial-ai-enrichment) | [Tutorial: AI-generated searchable content from Azure blobs](cognitive-search-tutorial-blob-dotnet.md) | Shows how to configure an indexer and skillset. |
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| [multiple-data-sources](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/multiple-data-sources) | [Tutorial: Index from multiple data sources](tutorial-multiple-data-sources.md). | Merges content from two data sources into one search index.
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| [multiple-data-sources](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/multiple-data-sources) | [Tutorial: Index from multiple data sources](tutorial-multiple-data-sources.md). | Merges content from two data sources into one search index. |
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| [Optimize-data-indexing](https://github.com/Azure-Samples/azure-search-dotnet-scale/tree/main/optimize-data-indexing) | [Tutorial: Optimize indexing with the push API](tutorial-optimize-indexing-push-api.md).| Demonstrates optimization techniques for pushing data into a search index. |
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| [DotNetHowTo](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowTo) | [How to use the .NET client library](search-howto-dotnet-sdk.md) | Steps through the basic workflow, but in more detail and with discussion of API usage. |
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| [DotNetToIndexers](https://github.com/Azure-Samples/search-dotnet-getting-started/tree/master/DotNetHowToIndexers) | [Tutorial: Index Azure SQL data](search-indexer-tutorial.md) | Shows how to configure an Azure SQL indexer that has a schedule, field mappings, and parameters. |

articles/search/samples-java.md

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# Java samples for Azure AI Search
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|--------|------|
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| Package download | [search.maven.org/artifact/com.azure/azure-search-documents](https://search.maven.org/artifact/com.azure/azure-search-documents) |
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| API reference | [com.azure.search.documents](/java/api/com.azure.search.documents) |
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| API test cases | [github.com/Azure/azure-sdk-for-java/tree/azure-search-documents_11.1.3/sdk/search/azure-search-documents/src/test](https://github.com/Azure/azure-sdk-for-java/tree/azure-search-documents_11.1.3/sdk/search/azure-search-documents/src/test) |
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| Source code | [github.com/Azure/azure-sdk-for-java/tree/azure-search-documents_11.1.3/sdk/search/azure-search-documents/src](https://github.com/Azure/azure-sdk-for-java/tree/azure-search-documents_11.1.3/sdk/search/azure-search-documents/src) |
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| API test cases | [https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/search/azure-search-documents/src/test](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/search/azure-search-documents/src/test) |
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| Source code | [https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/search/azure-search-documents](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/search/azure-search-documents) |
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| Change log | [https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/CHANGELOG.md](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/CHANGELOG.md) |
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## SDK samples
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articles/search/samples-javascript.md

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# JavaScript samples for Azure AI Search
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| API reference | [@azure/search-documents](/javascript/api/@azure/search-documents/) |
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| API test cases | [github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/test](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents/test) |
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| Source code | [github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/search/search-documents) |
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| Change log | [https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/CHANGELOG.md](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/search/search-documents/CHANGELOG.md) |
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## SDK samples
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articles/search/samples-python.md

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# Python samples for Azure AI Search
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| API reference | [azure-search-documents](/python/api/azure-search-documents) |
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| API test cases | [github.com/Azure/azure-sdk-for-python/tree/main/sdk/search/azure-search-documents/tests](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/search/azure-search-documents/tests) |
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| Source code | [github.com/Azure/azure-sdk-for-python/tree/main/sdk/search/azure-search-documents](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/search/azure-search-documents) |
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| Change log | [https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/search/azure-search-documents/CHANGELOG.md](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/search/azure-search-documents/CHANGELOG.md) |
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## SDK samples
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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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We also recommend [**azure-search-openai-demo**](https://github.com/Azure-Samples/azure-search-openai-demo/blob/main/README.md). This 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: [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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[**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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## Other samples
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The following samples are also published by the Azure AI Search team, but aren't referenced in documentation. Associated readme files provide usage instructions.
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| Repository | Description |
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| [aisearch-openai-rag-audio](https://github.com/Azure-Samples/aisearch-openai-rag-audio) | 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. |
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| [azure-search-backup-and-restore.ipynb](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python/code/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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> [!TIP]

articles/search/samples-rest.md

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# REST samples for Azure AI Search
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| [quickstart](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart) | Source code for [Quickstart: Text search using REST](search-get-started-rest.md). This sample covers the basic workflow for creating, loading, and querying a search index using sample data. |
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| [quickstart-vectors](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-vectors) | Source code for [Quickstart: Vector search using REST APIs](search-get-started-vector.md). This sample covers the basic workflow for indexing and querying vector data. |
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| [skillset-tutorial](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial) | Source code for [Tutorial: Use REST and AI to generate searchable content from Azure blobs](cognitive-search-tutorial-blob.md). This sample shows you how to create a skillset that iterates over Azure blobs to extract information and infer structure.|
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| [skill examples](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skill-examples) | Skillset examples in indexer pipelines that include indexes and indexers so that you can follow field mappings, output field mappings, and source paths. |
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| [debug-sessions](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Debug-sessions) | Source code for [Tutorial: Diagnose, repair, and commit changes to your skillset](cognitive-search-tutorial-debug-sessions.md). This sample shows you how to use a skillset debug session in the Azure portal. REST is used to create the objects used during debug.|
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| [custom-analyzers](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/custom-analyzers) | Source code for [Tutorial: Create a custom analyzer for phone numbers](tutorial-create-custom-analyzer.md). This sample explains how to use analyzers to preserve patterns and special characters in searchable content.|
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| [index-json-blobs](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/index-json-blobs) | Create an indexer, data source, and index for nested JSON within a JSON array. This example demonstrates the jsonArray parsing model and documentRoot parameters. |
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| [knowledge-store](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/knowledge-store) | Source code for [Create a knowledge store using REST](knowledge-store-create-rest.md). This sample explains the necessary steps for populating a knowledge store used for knowledge mining workflows. |
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| [projections](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/projections) | Source code for [Define projections in a knowledge store](knowledge-store-projections-examples.md). This sample explains how to specify the physical data structures in a knowledge store.|
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| [index-encrypted-blobs](https://github.com/Azure-Samples/azure-search-rest-samples/commit/f5ebb141f1ff98f571ab84ac59dcd6fd06a46718) | Source code for [How to index encrypted blobs using blob indexers and skillsets](search-howto-index-encrypted-blobs.md). This article shows how to index documents in Azure Blob Storage that have been previously encrypted using Azure Key Vault. |
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> [!TIP]
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> Try the [Samples browser](/samples/browse/?expanded=azure&languages=http&products=azure-cognitive-search) to search for Microsoft code samples in GitHub, filtered by product, service, and language.

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