
Apache Solr Neural Search Tutorial
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.

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.

In this post, we will describe how RREE discoveries and correlates the user query with the search engine queries.

This blog is a tutorial to explore the results of a search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.

This blog is a tutorial on how to visualise the search quality evaluation results of Elasticsearch and Solr search engines in RRE-Enterprise.

This blog is a tutorial to run a search quality evaluation of Elasticsearch and Solr search engines in RRE-Enterprise.

Common errors and warnings in manipulating feature stores and models in Solr. Pay attention also to JVM Heap and Zookeeper.

How to list, upload, delete feature stores and models necessary in Solr for learning to rank.

The Rated Ranking Evaluator (RRE) is an offline search quality evaluation library for both Apache Solr and Elasticsearch.

Let’s quickly setup a Solr development environment for implementation and debugging purposes, with our 5 minutes how to!

In this post we’ll cover two additional synonyms scenarios and we’ll try to summarise all previous tips in a concise form.
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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