
The AI side of the Vespa Search Engine
Vespa implements several useful features for customizing and improving Vector Search. Here, we will go into detail of each of them.

Vespa implements several useful features for customizing and improving Vector Search. Here, we will go into detail of each of them.

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
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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