
London Information Retrieval Meetup [June 2023]
We are delighted to announce the seventeenth edition of the London Information Retrieval Meetup with great news: the event will be hybrid!

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

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

We discuss an approach to solve the big challenge of argument retrieval for controversial questions proposed by CLEF in the Task2 of 2022.

My very personal take on the 45th European Conference on Information Retrieval (ECIR 2023), 2nd-6th April, Dublin

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.

In this blog post, we show in practice how you can use Elasticsearch to run a full end-to-end neural search.

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

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.
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