How Does Fuzzy Queries Work in Elasticsearch?
This blog post gives you an overview of how fuzzy queries work in Elasticsearch with examples and references.
Anna Ruggero
December 1, 2023
Word2Vec Model To Generate Synonyms – Performance Testing
This blog post is about the performances (time and memory) of our contribution to Apache Lucene to generate synonyms using Word2Vec
Ilaria Petreti
August 3, 2023
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
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
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
How to Deal with Too Many ‘object’ in Pandas from JSON Parsing
We propose and test a way to manage categorical data during the collection and store it directly as numeric types in the JSON.
Ilaria Petreti
March 30, 2022
Efficiently Manage Numeric Ids in JSON and Pandas
In this blog post we make an experimental analysis to identify the best data type to use when dealing with ids.
Anna Ruggero
March 17, 2022
How the Feature Vector Cache Is Used in Apache Solr
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Anna Ruggero
February 14, 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
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.
