Evaluating Solr Vector Search with Quepid
This blog post explore a practical way to evaluate the performance of vector search results in Apache Solr.
Ilaria Petreti
October 2, 2024
Online Search Quality Evaluation With Kibana – Queries in Common
This ‘tips and tricks’ describes the steps to follow to compare models on common queries in online search quality evaluation
Ilaria Petreti
June 19, 2023
Online Search Quality Evaluation With Kibana – Visualization Examples
This blog post describes an alternative and customized approach for evaluating ranking models through the use of Kibana.
Ilaria Petreti
June 16, 2023
Online Search Quality Evaluation With Kibana – Introduction
This blog post describes an alternative and customized approach for evaluating ranking models through the use of Kibana.
Ilaria Petreti
March 27, 2023
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
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
RRE-Enterprise: How to Run an Evaluation
This blog is a tutorial to run a search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.
Alessandro Benedetti
July 8, 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.
