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  2. 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).

  3. Elasticsearch - Wikipedia

    en.wikipedia.org/wiki/Elasticsearch

    Elasticsearch is a search engine based on Apache Lucene. It provides a distributed, multitenant -capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java , [ 2 ] .NET [ 3 ] ( C# ), PHP , [ 4 ] Python , [ 5 ] Ruby [ 6 ] and many other languages. [ 7 ]

  4. Database search engine - Wikipedia

    en.wikipedia.org/wiki/Database_search_engine

    Searching for textual content in databases or structured data formats (such as XML and CSV) presents special challenges and opportunities which specialized search engines resolve. Databases allow logical queries such as the use of multi-field Boolean logic, while full-text searches do not. "Crawling" (a human by-eye search) is not necessary to ...

  5. Information retrieval - Wikipedia

    en.wikipedia.org/wiki/Information_retrieval

    In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science [ 1 ] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.

  6. 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 ...

  7. Document retrieval - Wikipedia

    en.wikipedia.org/wiki/Document_retrieval

    Text retrieval is a branch of information retrieval where the information is stored primarily in the form of text. Text databases became decentralized thanks to the personal computer . Text retrieval is a critical area of study today, since it is the fundamental basis of all internet search engines .

  8. Elastic NV - Wikipedia

    en.wikipedia.org/wiki/Elastic_NV

    Elastic NV is an American-Dutch software company that provides self-managed and software as a service (SaaS) offerings for search, logging, security, observability, and analytics use cases. [2] It was founded in 2012 in Amsterdam, the Netherlands, and was previously known as Elasticsearch. [3]

  9. Apache Solr - Wikipedia

    en.wikipedia.org/wiki/Apache_Solr

    Solr is widely used for enterprise search and analytics use cases and has an active development community and regular releases. 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 ...