Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
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.
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…
This blog is a quick summary of my (subjective) experience at Haystack 2019 : the Search Relevance Conference, hosted in Charlottesville (Virginia, USA) from 24/04/2019 to 25/04/2019.References to the slides will be updated as soon as they become available. First of all my feedback on the Haystack Conference is extremely positive.From my perspective the conference…
This blog post is about the Apache Solr Suggester feature. Here you find all the available implementations with examples and tricks and tips.
This blog post is about the Solr classification module and the way Lucene classification has been integrated at indexing time in Apache Solr.
Let’s describes the approach used in the Lucene Classification module to adapt text classification to document ( multi field ) classification.