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)
We discuss an approach to solve the big challenge of argument retrieval for controversial questions proposed by CLEF in the Task2 of 2022.
Sease members are speaking at the upcoming Berlin Buzzwords 2023, one of the most important european conferences about Information Retrieval.
My very personal take on the 45th European Conference on Information Retrieval (ECIR 2023), 2nd-6th April, Dublin
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.
Sease will be at the next European Conference on Information Retrieval, presenting the paper about Stat-weight.
In this blog post, we show in practice how you can use Elasticsearch to run a full end-to-end neural search.