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.
In this blog post, we are going to measure KNN Search performance in Apache Solr from different points of view.
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.
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In this post we describe an approach to solve the problem of an application that requires both Full and Atomic Updates, using one of the powerful concepts in Object Oriented Programming: Polymorphism.
It was the spring of 2018, Andrea was strenuously working on a customer project, continuously tuning search configurations and checking the ground truth for certain queries manually. That was pretty much the standard at the time, the brilliant Quepid[1] from our friends at Open Source Connection helped in some use cases, but there was nothing…