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Privacy policy. Azure Cognitive Search formerly known as "Azure Search" is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.

Search is foundational to any app that surfaces text content to users, with common scenarios including catalog or document search, online retail, or data exploration. Architecturally, a search service sits between the external data stores that contain your un-indexed data, and your client app that sends query requests to a search index and handles the response. On the search service itself, the two primary workloads are indexing and querying.

Indexing is an intake process that loads content into to your search service and makes it searchable. Internally, inbound text is processed into tokens and stored in inverted indexes for fast scans. You can upload any text that is in the form of JSON documents. Additionally, if your content includes mixed files, you have the option of adding AI enrichment through cognitive skills.

AI enrichment can extract text embedded in application files, and also infer text and structure from non-text files by analyzing the content. The skills providing the analysis are predefined ones from Microsoft, or custom skills that you create. The subsequent analysis and transformations can result in new information and structures that did not previously exist, providing high utility for many search and knowledge mining scenarios.

Querying can happen once an index is populated with searchable text, when your client app sends query requests to a search service and handles responses. All query execution is over a search index that you create, own, and store in your service.

In your client app, the search experience is defined using APIs from Azure Cognitive Search, and can include relevance tuning, autocomplete, synonym matching, fuzzy matching, pattern matching, filter, and sort.

You can also use the Azure portal for service administration and content management, with tools for prototyping and querying your indexes and skillsets. Because the service runs in the cloud, infrastructure and availability are managed by Microsoft. Consolidate heterogeneous content into a private, user-defined search index. Offload indexing and query workloads onto a dedicated search service. Easily implement search-related features: relevance tuning, faceted navigation, filters including geo-spatial search , synonym mapping, and autocomplete.

This is achieved during indexing through cognitive skills that add external processing. Add linguistic or custom text analysis.

If you have non-English content, Azure Cognitive Search supports both Lucene analyzers and Microsoft's natural language processors. You can also configure analyzers to achieve specialized processing of raw content, such as filtering out diacritics, or recognizing and preserving patterns in strings.

For more information about specific functionality, see Features of Azure Cognitive Search. Decide on a tier. One free search service is allowed per subscription. Horoscope, future, love, fortunetelling, soothsaying, prophesied, partnership, career and more.

Test this great horoscope software. CruX is a peer-to-peer client for Windows that allows you to download any file-type found on several popular P2P networks. Simply download it and use it, no strings attached.

CruX can connect to more Peer-to-Peer networks, providing access to hundreds of thousands of diverse users, Vuze Acceleration Tool 2. Ares Galaxy Acceleration Tool 4. BitTorrent Acceleration Tool 4. BearFlix Acceleration Tool 4. LimeWire Acceleration Tool 4. BitComet Acceleration Tool 4. Shareaza Acceleration Tool 3. FrostWire Acceleration Tool 4. Ares 3. Ares Download 3. Morpheus Super Accelerator 6. On an empty search, count is the total number of documents in the index.

On a qualified search, it's the number of documents matching the query input. Recall that the service returns the top 50 matches by default, so you might have more matches in the index than what's included in the results.

Azure Cognitive Search returns the top 50 matches based on the search rank. You can check the document key listingID to identify a document. Recall that you need to provide search criteria, such as a query term or expression, to get ranked results. Notice that search scores decrease the deeper you reach into search results. The field must be attributed as Filterable in the index. This example searches for bedrooms greater than The field must be attributed as Sortable in the index.

An example expression you can use to test this out is:. For more information, see Filter OData syntax. Results are returned as verbose JSON documents so that you can view document construction and content, in entirety.

Search results are composed of all fields marked as Retrievable in the index. To view field attributes in the portal, click realestate-us-sample in the Indexes list on the search overview page, and then open the Fields tab. Keyword search, similar to what you might enter in a commercial web browser, are useful for testing an end-user experience. For example, assuming the built-in real estate sample index, you could enter "Seattle apartments lake washington", and then you can use Ctrl-F to find terms within the search results.

Query and filter expressions are articulated in a syntax implemented by Azure Cognitive Search. The default is a simple syntax , but you can optionally use full Lucene for more powerful queries.