The Apache Solr Birds of a Feather from ApacheCon NA 2022 in New Orleans taught us we can improve Solr in many ways… This is the TOP-10!
In this blog post we present the available learning to rank Apache Solr features with a focus on categorical features and how to manage them.
This blog post explores the internals of Apache Solr queryResultCache and filterCache through practical code examples.
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
Neural Search in Apache Solr has been contributed to the Open Source community by Sease [1] with the work of Alessandro Benedetti (Apache Lucene/Solr PMC member
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
This blog post explores the Apache Solr multi-field search limitations with a focus on the sow(split on whitespace) parameter.
This blog explores how the luceneMatchVersion parameter in the solrconfig.xml works in Apache Solr. Dos and don’ts, and anything in between.
Are you looking for a complete apache solr beginner course? Here you can find the best, online and with a small price!
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
