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Is Azure search based on Lucene?
Azure Search is not built on top of Apache Lucene as such, but it does support Lucene Query syntax.
What is azure search based on?
The full text search engine in Azure Cognitive Search is built on Apache Lucene, an industry standard in information retrieval.
Does Azure search use Elasticsearch?
Searching. Azure Search does not expose ElasticSearch's search interface where complex queries can be passed in a request body. A simple query string syntax is exposed for basic text search and any more structured queries can be supported via an implementation.
Which data format is accepted by Azure Cognitive Search?
Supported document formats EPUB. GZ. HTML. JSON (see Indexing JSON blobs)
What is index in Azure search?
In Azure Cognitive Search, a search index is your searchable content, available to the search engine for indexing, full text search, and filtered queries. An index is defined by a schema and saved to the search service, with data import following as a second step.
Is Azure cognitive search a PaaS?
Azure Cognitive Search is a PaaS service. While there is a portal experience to help configure and evaluate the service, you need to write your own application to call the service in order to use its functionality.
Is Azure search expensive?
To elaborate on the multi-tenant issue: Azure Search's approach to pricing is pretty steep. While there is a free tier for small applications (50MB of content or less) the first paid tier is about 14x more expensive than the first SQL Database tier that supports full-text search.
Does Microsoft use Elasticsearch?
Elastic on Microsoft Azure gives you the ability to deploy Elasticsearch directly within the Azure portal, allowing you to accelerate your time to value and benefit from enhanced business agility. Elasticsearch resources can be managed in the Azure portal just like any other native Azure service like VMs.
What is Elasticsearch?
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. Since its release in 2010, Elasticsearch has quickly become the most popular search engine and is commonly used for log analytics, full-text search, security intelligence, business analytics, and operational intelligence use cases.
What is azure search API?
Azure Search is an API based service that provides REST APIs via protocols such as OData or integrated libraries such as the . NET SDK. Primarily the service consists of the creation of data indexes and search requests within the index. Data to be searched is uploaded into logical containers called indexes.
What is index and indexer in Azure search?
An indexer in Azure Cognitive Search is a crawler that extracts searchable content from cloud data sources and populates a search index using field-to-field mappings between source data and a search index.
What is EDM in Azure?
In this article A enumeration used to represent the primitive types of the Entity Data Model (EDM) in the Open Data Protocol (OData). The EDM is the underlying abstract data model used by OData services.
On which Microsoft technology is it's search API based?
Microsoft Search uses Cognitive Search technology to offer software as a service for enterprise search within Microsoft products.
What is Cognitive Search used for?
Cognitive search enables knowledge discovery that is highly relevant to users' intent by deriving contextual insights from conceptual data. It does this by recognizing the patterns and relationships that exist within virtually any type of information – structured or unstructured, written or spoken.
What is meant by Cognitive Search?
Cognitive search can be defined as: “A new generation of enterprise search solutions that employ AI technologies such as natural language processing and machine learning to ingest, understand, organize, and query digital content from multiple data sources.” - Forrester.
What is facet in Azure cognitive search?
In Cognitive Search, facets are one layer deep and can't be hierarchical. If you aren't familiar with faceted navigation structured, the following example shows one on the left. Counts indicate the number of matches for each facet. The same document can be represented in multiple facets.
What is the full text search engine built on?
According to this Microsoft page the full text search is built on Lucene.
Is Azure Search built on Lucene?
Azure Search is not built on top of Apache Lucene as such, but it does support Lucene Query syntax. According to this Microsoft page the full text search is built on Lucene. https://docs.microsoft.com/en-us/azure/search/search-what-is-azure-search "The full text search engine in Azure Search is built on Apache Lucene, ...
What is Azure Search?
Developers describe Azure Search as " Search-as-a-service for web and mobile app development ". Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios. On the other hand, Lucene is detailed as " A high-performance, full-featured text search engine library written entirely in Java ". Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
What is Lucene Core?
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
What is Amazon CloudSearch?
Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.
Lucene query language in Azure Search
In the context of search, different applications need different amounts of control over exactly how searches are executed. In many cases you want straightforward keyword search, with separate optional control for relevance.
How to enable the Lucene query syntax in the search query
You can use the queryType parameter in a Search request to switch between the two search modes:
Field scoped searches
With the simple query language, the search terms provided in the query are always searched in all the searchable fields unless the query is scoped to specific searchable fields with the searchFields parameter. With the Lucene query language, you can scope your search to a specific field by placing a field name in front of a search clause.
Term boosting
Sometimes terms in a search query carry different degrees of importance and relevance. For example, in searching for a hotel, certain aspects may be more important to you as a customer and you want to reflect that in the search query.
Term boosting and field boosting in scoring profiles
The term boosting in the Lucene query language differs from and extends the field boosting offered in scoring profiles. The field weight in a scoring profile is only applied to matches from the specific field and is configurable only by the app designer.
Searches with regular expressions
The Lucene query language supports regular expressions within single terms. This enables a scenario that has been highly requested on Azure Search User Voice: Support for infix and suffix queries.
Fuzzy searches
The Lucene query language supports fuzzy searches on single terms based on the Levenshtein Distance algorithm. To enable fuzzy search, place a tilde "~" symbol at the end of a term with an optional parameter, between 0 and 2, that specifies the maximum edit distance allowed for the match.
