Apache Lucene

Lucene
Developer(s)	Apache Software Foundation
Initial release	1999; 25 years ago
Stable release	9.11.1 / June 27, 2024; 2 months ago
Repository	github.com/apache/lucene ;
Written in	Java
Operating system	Cross-platform
Type	Search and index
License	Apache License 2.0
Website	lucene.apache.org

Apache Lucene is a free and open-source search engine software library, originally written in Java by Doug Cutting. It is supported by the Apache Software Foundation and is released under the Apache Software License. Lucene is widely used as a standard foundation for production search applications.^[2]^[3]^[4]

Lucene has been ported to other programming languages including Object Pascal, Perl, C#, C++, Python, Ruby and PHP.^[5]

^ "Welcome to Apache Lucene". Lucene™ News section. Archived from the original on 12 February 2021. Retrieved 12 February 2020.
^ Kamphuis, Chris; de Vries, Arjen P.; Boytsov, Leonid; Lin, Jimmy (2020), "Which BM25 do You Mean? A Large-Scale Reproducibility Study of Scoring Variants", in Jose, Joemon M.; Yilmaz, Emine; Magalhães, João; Castells, Pablo (eds.), Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 12036, Cham: Springer International Publishing, pp. 28–34, doi:10.1007/978-3-030-45442-5_4, ISBN 978-3-030-45441-8, PMC 7148026
^ Grand, Adrien; Muir, Robert; Ferenczi, Jim; Lin, Jimmy (2020), "From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance", in Jose, Joemon M.; Yilmaz, Emine; Magalhães, João; Castells, Pablo (eds.), Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 12036, Cham: Springer International Publishing, pp. 20–27, doi:10.1007/978-3-030-45442-5_3, ISBN 978-3-030-45441-8, PMC 7148045
^ Azzopardi, Leif; Moshfeghi, Yashar; Halvey, Martin; Alkhawaldeh, Rami S.; Balog, Krisztian; Di Buccio, Emanuele; Ceccarelli, Diego; Fernández-Luna, Juan M.; Hull, Charlie; Mannix, Jake; Palchowdhury, Sauparna (2017-02-14). "Lucene4IR: Developing Information Retrieval Evaluation Resources using Lucene". ACM SIGIR Forum. 50 (2): 58–75. doi:10.1145/3053408.3053421. ISSN 0163-5840. S2CID 212416159.
^ "LuceneImplementations". apache.org. Archived from the original on 6 October 2015. Retrieved 23 September 2015.

[1] "Welcome to Apache Lucene". Lucene™ News section. Archived from the original on 12 February 2021. Retrieved 12 February 2020.

[2] Kamphuis, Chris; de Vries, Arjen P.; Boytsov, Leonid; Lin, Jimmy (2020), "Which BM25 do You Mean? A Large-Scale Reproducibility Study of Scoring Variants", in Jose, Joemon M.; Yilmaz, Emine; Magalhães, João; Castells, Pablo (eds.), Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 12036, Cham: Springer International Publishing, pp. 28–34, doi:10.1007/978-3-030-45442-5_4, ISBN 978-3-030-45441-8, PMC 7148026

[3] Grand, Adrien; Muir, Robert; Ferenczi, Jim; Lin, Jimmy (2020), "From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance", in Jose, Joemon M.; Yilmaz, Emine; Magalhães, João; Castells, Pablo (eds.), Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 12036, Cham: Springer International Publishing, pp. 20–27, doi:10.1007/978-3-030-45442-5_3, ISBN 978-3-030-45441-8, PMC 7148045

[4] Azzopardi, Leif; Moshfeghi, Yashar; Halvey, Martin; Alkhawaldeh, Rami S.; Balog, Krisztian; Di Buccio, Emanuele; Ceccarelli, Diego; Fernández-Luna, Juan M.; Hull, Charlie; Mannix, Jake; Palchowdhury, Sauparna (2017-02-14). "Lucene4IR: Developing Information Retrieval Evaluation Resources using Lucene". ACM SIGIR Forum. 50 (2): 58–75. doi:10.1145/3053408.3053421. ISSN 0163-5840. S2CID 212416159.

[port-5] "LuceneImplementations". apache.org. Archived from the original on 6 October 2015. Retrieved 23 September 2015.

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