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PISA: Performant Indexes and Search for Academia
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PISA: Performant Indexes and Search for Academia v0.6.6

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Description

PISA is a text search engine able to run on large-scale collections of documents. It allows researchers to experiment with state-of-the-art techniques, allowing an ideal environment for rapid development.

Some features of PISA are listed below:

  • Written in C++ for performance;
  • Indexing & Parsing & Sharding capabilities;
  • Many index compression methods implemented;
  • Many query processing algorithms implemented;
  • Implementation of document reordering;
  • Free and open-source with permissive license;

The best way to get started is by reading the official documentation.

If you want to get involved with PISA, please check out our Contributing page.

Reference

Reference to cite when you use PISA in a research paper:

@inproceedings{MSMS2019,
  author    = {Antonio Mallia and Michal Siedlaczek and Joel Mackenzie and Torsten Suel},
  title     = {{PISA:} Performant Indexes and Search for Academia},
  booktitle = {Proceedings of the Open-Source {IR} Replicability Challenge co-located
               with 42nd International {ACM} {SIGIR} Conference on Research and Development
               in Information Retrieval, OSIRRC@SIGIR 2019, Paris, France, July 25,
               2019.},
  pages     = {50--56},
  year      = {2019},
  url       = {http://ceur-ws.org/Vol-2409/docker08.pdf}
}

Credits

PISA is a fork of the ds2i project started by Giuseppe Ottaviano.

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