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
How to manage large JSON efficiently and quickly: multiple files
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
Ilaria Petreti
November 25, 2021
London Information Retrieval Meetup [December 2021]
We are so happy to announce the eleventh London Information Retrieval Meetup, a free evening meetup aimed to Information Retrieval passionates and professionals who are curious to explore and
Lisa Biella
November 16, 2021
How to manage large JSON files in Python efficiently and quickly
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
Ilaria Petreti
October 13, 2021
London Information Retrieval Meetup [September 2021]
Join the tenth London Information Retrieval Meetup in September, this time in hybrid version both in-presence and online.
Lisa Biella
August 18, 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
Drop constant features: a real-world Learning To Rank scenario
Does removing constant features affect model performance? Find out with our real-world Learning to Rank application
Ilaria Petreti
June 16, 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.
