
Tableau & SQL – Visual Analysis
This blog post is a result of our collaboration with the University of Padua, wherein the student Prarthana Ashokmayagappa played a significant role in selecting the

This blog post is a result of our collaboration with the University of Padua, wherein the student Prarthana Ashokmayagappa played a significant role in selecting the

Information about some database types to help readers to decide on what database to use for their projects.

This blog post aims to explore Word2Vec, the algorithm we used to generate synonyms in our contribution to Apache Lucene

This blog post describes an alternative and customized approach for evaluating ranking models through the use of Kibana.

Note on “Open Source” claims This blog post was originally written before the publication of the Open Source AI Definition, which provides a much-needed clarification

Discover in this blog post the Solr Neural Highlighter Plugin, which uses deep learning to highlight essential text for query answering.

This blog post showcases the vector search improvements that have been introduced in the latest versions of Elasticsearch (8.6 and 8.7)

This blog post aims to explore our contribution to Apache Lucene, which integrates a Word2Vec model to generate synonyms

This blog post describes an alternative and customized approach for evaluating ranking models through the use of Kibana.

This blog post explains all the steps required to implement Text Embedding and Vector Search directly in Elasticsearch in a very simple way.
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.
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