Discover in this blog post the Solr Neural Highlighter Plugin, which uses deep learning to highlight essential text for query answering.
This blog post shows an example of how to create an Apache Solr performance test using the Apache JMeter tool.
In this blog post, we show in practice how you use Apache Solr to index and search vectors and then run a full end-to-end neural search.
This blog post will analyze the impact of large stored fields on Apache Solr query performance.
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 is meant to explain how QueryResultCache and FilterCache are used during the basic query processing in Apache Solr 8.11.0. This blog does not explain how these caches are used during the execution of more advanced components like faceting. Solr caches are associated with a specific instance of an Index Searcher. By default, elements…
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?