OpenSearch Neural Search Plugin Tutorial
This blog post explores the new OpenSearch neural search plugin, given a detailed description of it through our end-to-end experience.
Anna Ruggero
December 19, 2022
Impact of Large Stored Fields on Apache Solr Query Performance
This blog post analyzes and discovers the impact of large stored fields on Apache Solr query performance.
Elia Porciani
December 13, 2022
Categorical Features in Apache Solr Learning to Rank
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.
Anna Ruggero
October 6, 2022
The Missing Piece: ID Discovery in RRE Enterprise
In this post, we describe how RREE correlates between client application identifiers and search engine identifiers.
Andrea Gazzarini
September 20, 2022
Train and Test Sets Split for Evaluating Learning To Rank Models – Part 2
What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?
Ilaria Petreti
September 13, 2022
Query Discovery in RRE Enterprise
In this post, we will describe how RREE discoveries and correlates the user query with the search engine queries.
Andrea Gazzarini
August 23, 2022
RRE-Enterprise: Make Explicit Ratings Easy
Did you know you can generate explicit ratings using the plugin JCBP you can find inside Rated Ranking Evaluator Enterprise?
Andrea Gazzarini
August 9, 2022
RRE-Enterprise: Evaluation Explore/Compare Dashboard
This blog is a tutorial to explore the results of a search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.
Alessandro Benedetti
August 2, 2022
RRE-Enterprise: Evaluation Overview Dashboard
This blog is a tutorial on how to visualise the search quality evaluation results of Elasticsearch and Solr search engines in RRE-Enterprise.
Alessandro Benedetti
July 27, 2022
Train and Test Sets Split for Evaluating Learning To Rank Models
How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?
Ilaria Petreti
July 20, 2022
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.
