Community Over Code 2026 Apache Lucene/Solr Birds of a Feather
The summary of the Apache Lucene/Solr Birds of a Feather from Community Over Code EU2026 in Glasgow, Scotland.
Alessandro Benedetti
October 23, 2026
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
Colbert Comes to Apache Solr: Implementation and Tutorial of Late Interaction Model Reranking
Discover late interaction in Apache Solr: how to implement ColBERT-style neural reranking to boost search accuracy.
Nicolò Rinaldi
April 1, 2026
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
Apache Solr New Learning To Rank Cache
A comparison between Solr’s current LTR cache and a new implementation that works not only for logging features, but also for reranking.
Anna Ruggero
March 23, 2026
New in Apache Solr 10: Improved Filtering In Vector Search with ACORN
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
Ilaria Petreti
March 16, 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
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.
