Large Language Models (LLM) are ubiquitous nowadays, it’s the new big thing and everyone is talking about the greatest and latest!But one of the main
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.
This blog post explores the new OpenSearch neural search plugin, given a detailed description of it through our end-to-end experience.
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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