
Apache Solr Neural Highlighting Plugin
Discover in this blog post the Solr Neural Highlighter Plugin, which uses deep learning to highlight essential text for query answering.

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)

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.

Our team members Ilaria and Anna will speak at the upcoming worldwide ElasticON conference about our experience with Elastic.

This blog post shows an example of how to create an Apache Solr performance test using the Apache JMeter tool.

An end-to-end tutorial to implement Neural Search in Vespa. From documents and model preparation, to embeddings creation and k-NN queries.

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.

In this blog post we present the available learning to rank Apache Solr features with a focus on categorical features and how to manage them.
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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