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.
This blog post shows an example of how to create an Apache Solr performance test using the Apache JMeter tool.
What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?
How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?