Understanding Embeddings in the Italian Language – Part 3
A study to assess the effectiveness of multilingual embedding models in handling Italian language, with an investigation on fine-tuning.
Nicolò Rinaldi
October 1, 2026
Understanding Embeddings in the Italian Language – Part 2
A study to assess the effectiveness of multilingual embedding models in handling Italian language, with an investigation on fine-tuning.
Nicolò Rinaldi
September 24, 2026
Understanding Embeddings in the Italian Language – Part 1
A study to assess the effectiveness of multilingual embedding models in handling Italian language, with an investigation on fine-tuning.
Nicolò Rinaldi
September 17, 2026
Databases vs. Search Engines: Has the Gap Finally Closed?
Sease Ltd. explores whether modern databases like PostgreSQL and MongoDB can replace dedicated search engines such as Apache Solr and OpenSearch. While databases have improved their search capabilities, they still lack the advanced features, scalability, and performance of search engines for complex applications. The choice depends on the scale and architecture of the project.
Anna Ruggero
August 26, 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
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
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
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
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.
