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  2. DocFetcher - Wikipedia

    en.wikipedia.org/wiki/DocFetcher

    The program is an indexing search tool, meaning it has a local database of file content that it checks, rather than looking over all files on your machine. This means the program must always be running to monitor changes, but search results are instant. Search tools are based on Apache Lucene software, [2] a widely-used, open source search engine.

  3. List of search engine software - Wikipedia

    en.wikipedia.org/wiki/List_of_search_engine_software

    Presented below is a list of search engine software. Commercial. Apache Lucene; Apache Solr; ... Bilingual search engine; Content discovery platform; Document retrieval;

  4. Search engine (computing) - Wikipedia

    en.wikipedia.org/wiki/Search_engine_(computing)

    In computing, a search engine is an information retrieval software system designed to help find information stored on one or more computer systems. Search engines discover, crawl, transform, and store information for retrieval and presentation in response to user queries. The search results are usually presented in a list and are commonly ...

  5. Apache Solr - Wikipedia

    en.wikipedia.org/wiki/Apache_Solr

    Solr (pronounced "solar") is an open-source enterprise-search platform, written in Java.Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features [2] and rich document (e.g., Word, PDF) handling.

  6. Isearch - Wikipedia

    en.wikipedia.org/wiki/Isearch

    Isearch is open-source [further explanation needed] text retrieval software first developed in 1994 by Nassib Nassar as part of the Isite Z39.50 information framework. The project started at the Clearinghouse for Networked Information Discovery and Retrieval (CNIDR) of the North Carolina supercomputing center MCNC and funded by the National Science Foundation to follow in the track of WAIS and ...

  7. List of academic databases and search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_academic_databases...

    Users need to account for qualities and limitations of databases and search engines, especially those searching systematically for records such as in systematic reviews or meta-analyses. [2] As the distinction between a database and a search engine is unclear for these complex document retrieval systems, see:

  8. SWISH-E - Wikipedia

    en.wikipedia.org/wiki/SWISH-E

    SWISH-E stands for Simple Web Indexing System for Humans - Enhanced. It is used to index collections of documents ranging up to one million documents in size and includes import filters for many document types. SWISH-E is based on SWISH, developed by Kevin Hughes. When Kevin Hughes stopped maintaining it, Roy Tennant (then at the University of ...

  9. 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] , PHP, [4] Python, [5] Ruby [6] and many other languages. [7]