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  2. Azure Cognitive Search - Wikipedia

    en.wikipedia.org/wiki/Azure_Cognitive_Search

    The Search as a service framework is intended to provide developers with complex search capabilities for mobile and web development while hiding infrastructure requirements and search algorithm complexities. Azure Search is a recent addition to Microsoft's Infrastructure as a Service (IaaS) approach.

  3. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    It is a full-text indexing and retrieval database, including time series analysis capabilities [6] [7] and regular expression evaluation and text parsing. [11] It is offered as platform as a service (PaaS) as part of Microsoft Azure platform. The product was announced by Microsoft in 2018.

  4. Full-text search - Wikipedia

    en.wikipedia.org/wiki/Full-text_search

    In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).

  5. Okapi BM25 - Wikipedia

    en.wikipedia.org/wiki/Okapi_BM25

    In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson , Karen Spärck Jones , and others.

  6. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Azure Search provides text search and a subset of OData's structured filters using REST or SDK APIs. Cosmos DB is a NoSQL database service that implements a subset of the SQL SELECT statement on JSON documents. Azure Cache for Redis is a managed implementation of Redis. StorSimple manages storage tasks between on-premises devices and cloud ...

  7. Inverted index - Wikipedia

    en.wikipedia.org/wiki/Inverted_index

    The purpose of an inverted index is to allow fast full-text searches, at a cost of increased processing when a document is added to the database. [2] The inverted file may be the database file itself, rather than its index. It is the most popular data structure used in document retrieval systems, [3] used on a large scale for example in search ...

  8. Search as a service - Wikipedia

    en.wikipedia.org/wiki/Search_as_a_service

    A link to the company's favoured search partner is coded onto their web site as a simple HTML web form or search box. When a query is submitted, this search box searches the main Google (or other) corpus for the text string, but only for results from that particular web site. These results are then displayed on the site's page, as if they were ...

  9. Apache Solr - Wikipedia

    en.wikipedia.org/wiki/Apache_Solr

    Solr runs as a standalone full-text search server. It uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it usable from most popular programming languages. Solr's external configuration allows it to be tailored to many types of applications without Java coding ...