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Copy file name to clipboardExpand all lines: articles/search/query-simple-syntax.md
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Azure Cognitive Search implements two Lucene-based query languages: [Simple Query Parser](https://lucene.apache.org/core/6_6_1/queryparser/org/apache/lucene/queryparser/simple/SimpleQueryParser.html) and the [Lucene Query Parser](https://lucene.apache.org/core/6_6_1/queryparser/org/apache/lucene/queryparser/classic/package-summary.html). The simple parser is more flexible and will attempt to interpret a request even if it's not perfectly composed. Because it's flexible, it's the default for queries in Azure Cognitive Search.
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The simple syntax is used for query expressions passed in the "search" parameter of a [Search Documents (REST API)](/rest/api/searchservice/search-documents) request, not to be confused with the [OData syntax](query-odata-filter-orderby-syntax.md) used for the ["$filter"](search-filters.md) and ["$orderby"](search-query-odata-orderby.md) expressions in the same request. OData parameters have different syntax and rules for constructing queries, escaping strings, and so on.
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Query syntax for either parser applies to query expressions passed in the "search" parameter of a [Search Documents (REST API)](/rest/api/searchservice/search-documents) request, not to be confused with the [OData syntax](query-odata-filter-orderby-syntax.md) used for the ["$filter"](search-filters.md) and ["$orderby"](search-query-odata-orderby.md) expressions in the same request. OData parameters have different syntax and rules for constructing queries, escaping strings, and so on.
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Although the simple parser is based on the [Apache Lucene Simple Query Parser](https://lucene.apache.org/core/6_6_1/queryparser/org/apache/lucene/queryparser/simple/SimpleQueryParser.html) class, its implementation in Cognitive Search excludes fuzzy search. If you need [fuzzy search](search-query-fuzzy.md), consider the alternative [full Lucene query syntax](query-lucene-syntax.md) instead.
Copy file name to clipboardExpand all lines: articles/search/resource-demo-sites.md
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ms.author: heidist
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ms.service: cognitive-search
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ms.topic: conceptual
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ms.date: 09/20/2022
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ms.date: 10/27/2022
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---
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# Demos - Azure Cognitive Search
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| Demo name | Description | Source code |
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|-----------|------------ |-------------|
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|[AzSearchLab](https://azuresearchlab.azurewebsites.net/)| A web front end that makes calls to a search index. |[https://github.com/Azure-Samples/azure-search-lab](https://github.com/Azure-Samples/azure-search-lab)|
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|[NYC Jobs demo](https://azjobsdemo.azurewebsites.net/)| An ASP.NET app with facets, filters, details, geo-search (map controls). |[https://github.com/Azure-Samples/search-dotnet-asp-net-mvc-jobs](https://github.com/Azure-Samples/search-dotnet-asp-net-mvc-jobs)|
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|[JFK files demo](https://jfk-demo-2019.azurewebsites.net/#/)| An ASP.NET web app built on a public data set, transformed with custom and predefined skills to extract searchable content from scanned document (JPEG) files. [Learn more...](https://www.microsoft.com/ai/ai-lab-jfk-files)|[https://github.com/Microsoft/AzureSearch_JFK_Files](https://github.com/Microsoft/AzureSearch_JFK_Files)|
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|[Semantic search for retail](https://brave-meadow-0f59c9b1e.1.azurestaticapps.net/)| Web app for a fictitious online retailer, "Terra" | Not available |
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ms.service: cognitive-search
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ms.topic: conceptual
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ms.date: 10/06/2022
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ms.date: 10/27/2022
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ms.custom: devx-track-csharp
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# Filters in Azure Cognitive Search
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A *filter* provides value-based criteria for including or excluding content before query execution. For example, you could set filters to select documents based on dates, locations, or some other field. Filters are specified on individual fields. A field definition must be attributed as "filterable" if you want to use it in filter expressions.
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A *filter* provides value-based criteria for including or excluding content before query execution. For example, including or excluding documents based on dates, locations, or language. Filters are specified on individual fields. A field definition must be attributed as "filterable" if you want to use it in filter expressions.
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A filter can be a single value or an OData [filter expression](search-query-odata-filter.md). In contrast with full text search, a filter succeeds only if an exact match is made.
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A filter is specified using [OData filter expression syntax](search-query-odata-filter.md). In contrast with full text search, a filter succeeds only if the match is exact.
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Among our customers, those able to apply the widest range of features in Azure Cognitive Search include online catalogs, line-of-business programs, and document discovery applications.
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## Watch this video
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<!--## Watch this video
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In this 15-minute video, review the main capabilities of Azure Cognitive Search.
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# What's new in Azure Cognitive Search
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Learn about the latest updates to Azure Cognitive Search functionality.
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Learn about the latest updates to Azure Cognitive Search functionality, docs, and samples.
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> [!NOTE]
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> Looking for preview feature status? Preview features are announced in this what's new article, but we also maintain a [preview features list](search-api-preview.md) so that you can find them all in one place.
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> Looking for preview features? Previews are announced here, but we also maintain a [preview features list](search-api-preview.md) so you can find them in one place.
|[Query performance dashboard](https://github.com/Azure-Samples/azure-samples-search-evaluation)| This Application Insights sample demonstrates an approach for deep monitoring of query usage and performance of an Azure Cognitive Search index. It includes a JSON template that creates a workbook and dashboard in Application Insights and a Jupyter Notebook that populates the dashboard with simulated data. |
|[Compliance risk analysis using Azure Cognitive Search](/azure/architecture/guide/ai/compliance-risk-analysis)| Published on Azure Architecture Center, this guide covers the implementation of a compliance risk analysis solution that uses Azure Cognitive Search. |
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|[Beiersdorf customer story using Azure Cognitive Search](https://customers.microsoft.com/story/1552642769228088273-Beiersdorf-consumer-goods-azure-cognitive-search)| This customer story showcases semantic search and document summarization to provide researchers with ready access to institutional knowledge. |
|[Azure Cognitive Search Lab](https://github.com/Azure-Samples/azure-search-lab/blob/main/README.md)| This C# sample provides the source code for building a web front-end that accesses all of the REST API calls against an index. This tool is used by support engineers to investigate customer support issues. You can try this [demo site](https://azuresearchlab.azurewebsites.net/) before building your own copy. |
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|[Event-driven indexing for Cognitive Search](https://github.com/aditmer/Event-Driven-Indexing-For-Cognitive-Search/blob/main/README.md)| This C# sample is an Azure Function app that demonstrates event-driven indexing in Azure Cognitive Search. If you've used indexers and skillsets before, you know that indexers can run on demand or on a schedule, but not in response to events. This demo shows you how to set up an indexing pipeline that responds to data update events. |
|[Tutorial: Index large data from Apache Spark](search-synapseml-cognitive-services.md)| This tutorial explains how to use the SynapseML open-source library to push data from Apache Spark into a search index. It also shows you how to make calls to Cognitive Services to get AI enrichment without skillsets and indexers. |
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## June 2022
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|[Power Query connector preview](search-how-to-index-power-query-data-sources.md)| This indexer data source was introduced in May 2021 but will not be moving forward. Please migrate your data ingestion code by November 2022. See the feature documentation for migration guidance. | Retired |
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|[Power Query connector preview](search-how-to-index-power-query-data-sources.md)| This indexer data source was introduced in May 2021 but won't be moving forward. Please migrate your data ingestion code by November 2022. See the feature documentation for migration guidance. | Retired |
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## February 2022
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| February |[Azure CLI](/cli/azure/search) </br>[Azure PowerShell](/powershell/module/az.search/)| New revisions now provide the full range of operations in the Management REST API 2020-08-01, including support for IP firewall rules and private endpoint. Generally available. |
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| January |[Solution accelerator for Azure Cognitive Search and QnA Maker](https://github.com/Azure-Samples/search-qna-maker-accelerator)| Pulls questions and answers out of the document and suggest the most relevant answers. A live demo app can be found at [https://aka.ms/qnaWithAzureSearchDemo](https://aka.ms/qnaWithAzureSearchDemo). This feature is an open-source project (no SLA). |
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## 2019 and 2020 announcements
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## 2020 announcements
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See [2020 Archive for "What's New in Cognitive Search"](/previous-versions/azure/search/search-whats-new-2020) in the content archive.
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## 2019 announcements
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For feature announcements from 2019 and 2020, see the content archive, [**Previous versions**](/previous-versions/azure/search/) on the Microsoft Learn website.
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See [2019 Archive for "What's New in Cognitive Search"](/previous-versions/azure/search/search-whats-new-2019) in the content archive.
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