Apache Solr Lexicographical Order: Possible Unexpected Behaviors
This blog post explores the possible unexpected behaviors that can be encountered with Apache Solr’s lexicographical ordering.
Ilaria Petreti
July 30, 2026
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
Vector Search Doctor (Part 1): Beyond the MTEB Leaderboard for Custom Datasets
Embedding Model Evaluator is an MTEB benchmark designed to evaluate embedding models on user-provided datasets on retrieval and reranking tasks.
Nazerke Seidan
July 16, 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
Our Berlin Buzzwords 2026
Another Berlin Buzzwords is in the books, and we’re back with plenty of fresh ideas, inspiring conversations, and great memories. If you couldn’t make it
Lisa Biella
June 26, 2026
Bloomberg Sponsorship Spotlight: Our Latest Apache Solr Contributions
Over the past few months, we’ve been able to dedicate focused engineering time to upstream a lot of work in Apache Solr, especially in the
Lisa Biella
June 25, 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
Nested Vectors Search in Apache Lucene
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
Anna Ruggero
May 27, 2026
London Information Retrieval & AI Meetup [June 2026]
Let’s announce the twenty-seventh edition of the London Information Retrieval & AI Meetup, a hybrid event about Information Retrieval.
Lisa Biella
May 25, 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.
