Benchmark Apache Solr Performance with Apache JMeter
This blog post shows an example of how to create an Apache Solr performance test using the Apache JMeter tool.
Ilaria Petreti
February 22, 2023
Vespa Neural Search Tutorial
An end-to-end tutorial to implement Neural Search in Vespa. From documents and model preparation, to embeddings creation and k-NN queries.
Anna Ruggero
February 6, 2023
Apache Solr Neural Search Tutorial
In this blog post, we show in practice how you use Apache Solr to index and search vectors and then run a full end-to-end neural search.
Ilaria Petreti
January 31, 2023
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
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
Have Neural Networks Killed the Inverted Index?
DeepImpact is a new document term-weighting scheme suitable for efficient sparse retrieval using a standard inverted index.
Antonio Mallia
April 28, 2022
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
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
This blog post aims to illustrate step by step a Learning to Rank project on a Daily Song Ranking problem using open source libraries.
Ilaria Petreti
December 18, 2020
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.
