
Apache Solr 10 – What Is New for Vector Search and LTR
This blog summarises the main new features introduced in Apache Solr 10.0.0, focusing on Vector Search and Learning to Rank (LTR).

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.

A quick tutorial to give you all the knowledge needed to work with multivalued vectors in Apache Solr.

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

Let’s announce the twenty-third edition of the London Information Retrieval & AI Meetup, a hybrid event about Information Retrieval.

New feature coming to Solr v10.x: KNN search on nested vectors via Block Join. KNN Block Join query enables searching across specific child paragraphs and surfacing the most relevant parent documents in a single request.

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.
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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