
Neo4J Optimization Tips
Tips and tricks regarding Neo4J optimization (query optimization, memory and disk configuration).

Tips and tricks regarding Neo4J optimization (query optimization, memory and disk configuration).

This blog post is about the performances (time and memory) of our contribution to Apache Lucene to generate synonyms using Word2Vec

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

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.

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.

What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?

Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations

This blog post explores the Apache Solr multi-field search limitations with a focus on the sow(split on whitespace) parameter.
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