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.
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.
Common errors and warnings in manipulating feature stores and models in Solr. Pay attention also to JVM Heap and Zookeeper.
This blog post explains how to list, upload and delete feature and model stores in Apache Solr for learning to rank.
Interleaving is an online evaluation approach for ranking functions, contributed to Apache Solr Learning to Rank by Sease.
This blog post aims to give a better understanding of Docvalues and stored fields in Apache Solr for the operations in which they can be used interchangeably.
Apache Lucene/Solr have been central to me for the last 10 years:I am honoured to announce I am now an APACHE LUCENE/SOLR COMMITTER ! And I am happy 🙂