Boosted K-Nearest Neighbor Search
Is it possible to integrate eDisMax-like boosting in Approximate Nearest Neighbor search for Solr and Lucene?
Anna Ruggero
July 22, 2026
Vector Search Doctor (Part 2): Bridging the Gap Between Theory and Practice in Vector Search
This blogpost introduces Approximate Search Evaluator: a tool to measure vector search performance, addressing the accuracy/speed trade-off.
Nicolò Rinaldi
July 17, 2026
Search Quality Evaluation with LLMs: the Dataset Generator
Dataset Generator automates the creation of relevance datasets for search evaluation, generating queries and relevance ratings with LLMs.
Nazerke Seidan
July 1, 2026
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.
Anna Ruggero
June 19, 2026
Benchmarking JSON Facet Methods in Apache Solr
This blogpost explores the performance impact of DocValues vs. Inverted Index for Apache Solr facets done through JSON facet API.
Nicolò Rinaldi
May 15, 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 Using a Custom Algorithm in Apache Solr
This blog post explores the Combined Query Feature using a custom algorithm in Apache Solr with a hands-on approach.
Ilaria Petreti
March 9, 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
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.
