Scalar Quantization of Dense Vectors in Apache Solr
This blog post explores scalar vector quantization and the recent Solr contribution which adds support for this technique.
Ilaria Petreti
January 2, 2026
Retrieval and Responsibility: The Ethics of Augmented Knowledge
As companies rush to embed generative AI into search, support, and decision-making, the real competitive edge won’t come from scale alone, but from how responsibly
Lisa Biella
December 9, 2025
Faster Vector Search: Early Termination Strategy Now in Apache Solr
In this blog we explores an early termination strategy designed to make approximate k-NN search faster in Apache Solr.
Ilaria Petreti
December 2, 2025
OpenSearch and Large Language Models
In this blog post, we provide a comprehensive overview of the features based on large language models (LLM) currently supported by OpenSearch.
Ilaria Petreti
November 24, 2025
Sease at Search Solutions and Tutorials 2025
Sease will talk at the upcoming conference Search Solutions and Tutorial 2025, hosted in London by the BCS group.
Lisa Biella
November 20, 2025
ColBERT in Practice: Bridging Research and Industry
In this blog post, we examine the ColBERT paper, which adapts deep learning models, in particular, BERT, for efficient retrieval.
Nazerke Seidan
November 10, 2025
London Information Retrieval & AI Meetup [November 2025]
Let’s announce the twenty-fifth edition of the London Information Retrieval & AI Meetup, a hybrid event about Information Retrieval.
Lisa Biella
October 29, 2025
GLiNER as an Alternative to LLMs for Query Parsing – Evaluation
This blog post explores GLiNER as a viable alternative to large language models (LLMs) for query parsing tasks.
Ilaria Petreti
October 27, 2025
GLiNER as an Alternative to LLMs for Query Parsing – Introduction
This blog post explores how GLiNER works, highlighting its underlying architecture and how it differs from traditional NER models.
Ilaria Petreti
October 13, 2025
Enterprise AI Products for Search: Limits and Risks
Imagine stumbling upon a shiny platform that claims to offer “done-for-you” searches with AI-powered relevance and conversational chat, all rolled into one, perfectly working out
Lisa Biella
September 18, 2025
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.
