When using Lucene’s parent-child block-join mode, you are dealing with a “one-to-many relationship”. You have a single document (parent) owning multiple vector embeddings (children).To search
Let’s announce the twenty-seventh edition of the London Information Retrieval & AI Meetup, a hybrid event about Information Retrieval.
Berlin Buzzwords 2026 Berlin Buzzwords is Germany’s most exciting conference on storing, processing, streaming and searching large amounts of digital data, with a focus on
This blogpost explores the performance impact of DocValues vs. Inverted Index for Apache Solr facets done through JSON facet API.
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 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.
