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.
// our service Shameless plug for our training and services! Did I mention we do Artificial Intelligence in Search training?We also provide consulting on this topic, get in touch if you want to bring your search engine to the next level with the power of AI! // STAY ALWAYS UP TO DATE Subscribe to our newsletter Did you like…
This blog is meant to explain how QueryResultCache and FilterCache are used during the basic query processing in Apache Solr 8.11.0. This blog does not explain how these caches are used during the execution of more advanced components like faceting. Solr caches are associated with a specific instance of an Index Searcher. By default, elements…