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.
This blog post will analyze the impact of large stored fields on Apache Solr query performance.
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.
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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…