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
AI-Powered Search Results Navigation with LLMs & JSON Schema
It explores an AI-powered Filter Assistant to improve User eXperience in navigating search results efficiently and effectively.
Ilaria Petreti
August 20, 2025
Evaluating Solr Vector Search with Quepid
This blog post explore a practical way to evaluate the performance of vector search results in Apache Solr.
Ilaria Petreti
October 2, 2024
Challenges in Mathematical Formulae Retrieval
How do you retrieve mathematical formulae? What are the main problems and challenges in mathematical formulae retrieval?
Simone Bortolin, Alessandra Pastore, Gil Czaczkes
September 4, 2024
How to calculate aggregations in Elasticsearch as percentages?
This blog post shows you how to calculate aggregations in Elasticsearch as percentages through the use of Bucket Script Aggregation
Ilaria Petreti
August 5, 2024
OpenSearch Neural Sparse Search Tutorial
This blog post will focus on exploring Neural Sparse Search, an alternative approach to neural text search.
Ilaria Petreti
July 16, 2024
Image Retrieval Using ViT + Generative Pre-trained Transformer (GPT)
Implementation of image retrieval through a textual query using a Vision Transformer and a GPT for image captioning.
SQUID
April 18, 2024
Elasticsearch Relevance Engine: Combining AI With Elastic’s Text Search
The goal of this blog post is to highlight new vector search capabilities introduced in version 8.8.0, especially ESRE
Ilaria Petreti
July 26, 2023
How to Choose the Right Large Language Model for Your Domain – Open Source Edition
Note on “Open Source” claims This blog post was originally written before the publication of the Open Source AI Definition, which provides a much-needed clarification
Alessandro Benedetti
June 9, 2023
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.
