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
GLiNER as an Alternative to LLMs for Query Parsing – Introduction
This blog post explores how GLiNER works, highlighting its underlying architecture and how it differs from traditional NER models.
Ilaria Petreti
October 13, 2025
Exploring Sexism in Information Retrieval Systems with NLP and ML
This blog is about the use of NLP and ML techniques to detect and prevent the use of sexism in Information Retrieval Systems
isilatabek
January 31, 2024
Train and Test Sets Split for Evaluating Learning To Rank Models
How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?
Ilaria Petreti
July 20, 2022
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.
