Late Interaction Comes to Solr: Neural Reranking Introduction
Discover late interaction in Apache Solr: how to implement ColBERT-style neural reranking to boost search accuracy.
Nicolò Rinaldi
April 1, 2026
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).
Ilaria Petreti
March 30, 2026
Hybrid Search with Reciprocal Rank Fusion in Apache Solr
We explore the Combined Query Feature using Reciprocal Rank Fusion in Apache Solr with a hands-on approach.
Ilaria Petreti
March 3, 2026
Lexically accelerated vector search: SeededKnnVectorQuery Support in Apache Solr 10
In this blog we explores our recent contribution to Apache Solr that introduces support for SeededKnnVectorQuery.
Ilaria Petreti
February 2, 2026
Binary Quantization of Dense Vectors in Apache Solr
This blog post explores binary vector quantization and the recent Solr contribution which adds support for this technique.
Ilaria Petreti
January 12, 2026
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
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
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
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
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.
