
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.

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

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.

This blog post explores binary vector quantization and the recent Solr contribution which adds support for this technique.

This blog post explores scalar vector quantization and the recent Solr contribution which adds support for this technique.

In this blog we explores an early termination strategy designed to make approximate k-NN search faster in Apache Solr.

In this blog post, we provide a comprehensive overview of the features based on large language models (LLM) currently supported by OpenSearch.
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