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  2. Elasticsearch - Wikipedia

    en.wikipedia.org/wiki/Elasticsearch

    Elasticsearch can be used to search any kind of document. It provides scalable search, has near real-time search, and supports multitenancy. [29] "Elasticsearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. Each node hosts one or more shards and acts as a coordinator to ...

  3. List of search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_search_engines

    Desktop search product with Outlook plugin and limited support for other formats via IFilters, uses Lucene search engine. Proprietary (14-day trial) [7] Nepomuk: Linux: Open-source semantic desktop search tool for Linux. Has been replaced by Baloo in KDE Applications from release 4.13 onward. License SA 3.0 and the GNU Free Documentation ...

  4. Kibana - Wikipedia

    en.wikipedia.org/wiki/Kibana

    The combination of Elasticsearch, Logstash, and Kibana, referred to as the "Elastic Stack" (formerly the "ELK stack"), is available as a product or service. [6] Logstash provides an input stream to Elasticsearch for storage and search, and Kibana accesses the data for visualizations such as dashboards. [ 7 ]

  5. 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.

  6. AOL Search - AOL Help

    help.aol.com/products/aol-search

    AOL Search delivers comprehensive listings and one-click access to relevant videos, pictures, local maps and more. AOL APP. News / Email / Weather / Video. GET. Mail.

  7. 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.

  8. Semantic search - Wikipedia

    en.wikipedia.org/wiki/Semantic_search

    Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results.

  9. Here's how much U.S. car prices could rise if Trump tariffs ...

    www.aol.com/heres-much-u-car-prices-125913491.html

    Proposed 25% U.S. tariffs on Canada and Mexico could lead to a sharp increase in vehicle prices, auto industry executives and analysts say.