QueryResultCache and FilterCache in Apache Solr
This blog post explores the internals of Apache Solr queryResultCache and filterCache through practical code examples.
Daniele Antuzi
April 14, 2022
How the Feature Vector Cache Is Used in Apache Solr
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Anna Ruggero
February 14, 2022
Tackling Vocabulary Mismatch with Document Expansion
Let’s attenuate vocabulary mismatch by leveraging document expansion using two modern transformer-based approaches.
Antonio Mallia
January 31, 2022
Apache Solr Neural Search
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
Alessandro Benedetti
January 24, 2022
Apache Solr Neural Search Knn benchmark
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
Elia Porciani
January 24, 2022
Apache Solr Learning To Rank Feature Extraction and qTime
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
Anna Ruggero
January 12, 2022
From Training to Ranking: Using BERT to Improve Search Relevance
Learning about text ranking using Deep Learning with BERT transformer. From training to neural re-ranking, with code snippets and examples.
Antonio Mallia
December 22, 2021
Artificial Intelligence Applied to Search: Introduction
How does Artificial Intelligence impact Search? This post explores the state of the art of AI applied to Information Retrieval in Open Source.
Alessandro Benedetti
July 7, 2021
A Learning to Rank Project on a Daily Song Ranking Problem – Part 4
Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations
Ilaria Petreti
May 31, 2021
Apache Solr sow Parameter (Split on Whitespace) and Multi-Field Full-Text Search
This blog post explores the Apache Solr multi-field search limitations with a focus on the sow(split on whitespace) parameter.
Alessandro Benedetti
May 19, 2021
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.
