
Apache Solr Lexicographical Order: Possible Unexpected Behaviors
This blog post explores the possible unexpected behaviors that can be encountered with Apache Solr’s lexicographical ordering.

This blog post explores the possible unexpected behaviors that can be encountered with Apache Solr’s lexicographical ordering.

Is it possible to integrate eDisMax-like boosting in Approximate Nearest Neighbor search for Solr and Lucene?

Discover late interaction in Apache Solr: how to implement ColBERT-style neural reranking to boost search accuracy.

Discover late interaction in Apache Solr: how to implement ColBERT-style neural reranking to boost search accuracy.

This blog summarises the main new features introduced in Apache Solr 10.0.0, focusing on Vector Search and Learning to Rank (LTR).

A comparison between Solr’s current LTR cache and a new implementation that works not only for logging features, but also for reranking.

Hi readers, In this blog post, we are excited to share some important news with you:Sease has contributed a new feature to Apache Solr by

This blog post explores the Combined Query Feature using a custom algorithm in Apache Solr with a hands-on approach.

We explore the Combined Query Feature using Reciprocal Rank Fusion in Apache Solr with a hands-on approach.

In this blog we explores our recent contribution to Apache Solr that introduces support for SeededKnnVectorQuery.
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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