mirror of https://github.com/apache/lucene.git
4bbc273a43
While FeatureQuery is a powerful tool in the scoring case, there are scenarios when caching should be allowed and scoring disabled. A particular case is when the FeatureQuery is used in conjunction with learned-sparse retrieval. It is useful to iterate and calculate the entire matching doc set when combined with various other queries. related to: https://github.com/apache/lucene/issues/11799 |
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CONTRIBUTING.md | ||
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README.md
Apache Lucene
Apache Lucene is a high-performance, full-featured text search engine library written in Java.
Online Documentation
This README file only contains basic setup instructions. For more comprehensive documentation, visit:
- Latest Releases: https://lucene.apache.org/core/documentation.html
- Nightly: https://ci-builds.apache.org/job/Lucene/job/Lucene-Artifacts-main/javadoc/
- Build System Documentation: help/
- Developer Documentation: dev-docs/
- Migration Guide: lucene/MIGRATE.md
Building
Basic steps:
- Install OpenJDK 17 or 18.
- Clone Lucene's git repository (or download the source distribution).
- Run gradle launcher script (
gradlew
).
We'll assume that you know how to get and set up the JDK - if you don't, then we suggest starting at https://jdk.java.net/ and learning more about Java, before returning to this README.
See Contributing Guide for details.
Contributing
Bug fixes, improvements and new features are always welcome! Please review the Contributing to Lucene Guide for information on contributing.
Discussion and Support
- Users Mailing List
- Developers Mailing List
- IRC:
#lucene
and#lucene-dev
on freenode.net