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 to cite when you use PISA in a research paper:
@inproceedings{MSMS2019,
title={{PISA}: {P}erformant {I}ndexes and {S}earch for {A}cademia},
author={Mallia, Antonio and Siedlaczek, Michal and Mackenzie, Joel and Suel, Torsten},
booktitle={Proceedings of the Open-Source IR Replicability Challenge (OSIRRC 2019)},
year={2019}
}
PISA is a fork of the ds2i project started by Giuseppe Ottaviano.