
RRE-Enterprise: How to Set up Your Target Search Engine
This blog is a tutorial to define your target for search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.

This blog is a tutorial to define your target for search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.

This blog is a tutorial to define your golden truth for search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.

What is a cluster_block_exception in Elasticsearch? How to solve it? Let’s define an index management policy with a rollover strategy.

DeepImpact is a new document term-weighting scheme suitable for efficient sparse retrieval using a standard inverted index.

This blog post explores the internals of Apache Solr queryResultCache and filterCache through practical code examples.

How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?

Let’s attenuate vocabulary mismatch by leveraging document expansion using two modern transformer-based approaches.

Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.

Neural Search in Apache Solr has been contributed to the Open Source community by Sease [1] with the work of Alessandro Benedetti (Apache Lucene/Solr PMC member

How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime 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.
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