
Elasticsearch Relevance Engine: Combining AI With Elastic’s Text Search
The goal of this blog post is to highlight new vector search capabilities introduced in version 8.8.0, especially ESRE

The goal of this blog post is to highlight new vector search capabilities introduced in version 8.8.0, especially ESRE

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.

As usual, after Berlin Buzzwords it’s MICES day, a packed mini-conference on e-commerce search which always surprises me. MICES has become THE European community event

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

This is our personal feedback about Berlin Buzzwords 2023. Let’s see our favourite talks of the conference from different points of view.

This ‘tips and tricks’ describes the steps to follow to compare models on common queries in online search quality evaluation

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

We are delighted to announce the seventeenth edition of the London Information Retrieval Meetup with great news: the event will be hybrid!

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
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.
WhatsApp us