We are so happy to announce the twelfth London Information Retrieval Meetup, a free evening meetup aimed to Information Retrieval passionates and professionals who are curious to explore
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Let’s attenuate vocabulary mismatch by leveraging document expansion using two modern transformer-based approaches.
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
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
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
Learning about text ranking using Deep Learning with BERT transformer. From training to neural re-ranking, with code snippets and examples.
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
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
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
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.
