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OpenSearch is a family of software consisting of a search engine (also named OpenSearch), and OpenSearch Dashboards, a data visualization dashboard for that search engine. [2] It is an open-source project developed by the OpenSearch Software Foundation (a Linux Foundation project) written primarily in Java .
OpenSearch RSS (in OpenSearch 1.0) or OpenSearch Response (in OpenSearch 1.1): format for providing open search results. OpenSearch Aggregators : Sites that can display OpenSearch results. OpenSearch "Auto-discovery" to signal the presence of a search plugin link to the user and the link embedded in the header of HTML pages
A9 developed a protocol called OpenSearch that enabled the "plug-in" search source functionality from the A9.com portal. The original specification, OpenSearch 1.0, was released in March 2005. A9 made the protocol freely available through a Creative Commons license.
In January 2021, Elastic announced that starting with version 7.11, they would be relicensing their Apache 2.0 licensed code in Elasticsearch and Kibana to be dual licensed under Server Side Public License and the Elastic License, neither of which is recognized as an open-source license.
Source code was made private in 2017, as the internal codebase had already diverged significantly from the public one. Redis: 2009 2024 BSD-3-Clause: dual: custom license and Server Side Public License [29] Valkey [30] Sourcegraph: 2013 2023 Apache-2.0: proprietary [31] Terraform: 2014 2023 [6] MPL-2.0: Business Source License [6] OpenTofu [32]
In May 2021, OpenSearch released the first beta of OpenSearch Dashboards, the Apache-licensed fork of Kibana sponsored by Amazon Web Services after Elastic discontinued the open source project and switched to proprietary software development.
Amazon DynamoDB is a managed NoSQL database service provided by Amazon Web Services (AWS). It supports key-value and document data structures and is designed to handle a wide range of applications requiring scalability and performance. [2]
For example, Lucene's 'MoreLikeThis' Class can generate recommendations for similar documents. In a comparison of the term vector-based similarity approach of 'MoreLikeThis' with citation-based document similarity measures, such as co-citation and co-citation proximity analysis, Lucene's approach excelled at recommending documents with very ...