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
Why Solr More Like This Ignores Your copyField – How to Deal With It
This blog post explains a workaround implemented in Solr’s CloudMLTQParser to handle fields populated via copyField.
Ilaria Petreti
July 1, 2025
Apache Solr Filter Queries: Integer or String Fields?
This blog post explores whether to index a field in Apache Solr as a string or integer for optimal filter query performance.
Ilaria Petreti
November 15, 2024
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
Neo4J Optimization Tips
Tips and tricks regarding Neo4J optimization (query optimization, memory and disk configuration).
Ilaria Petreti
September 13, 2024
From Natural Language to Structured Solr Queries using LLMs
It explores translating natural language queries into structured Solr queries using LLM and metadata to improve search and user experience.
Ilaria Petreti
August 16, 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
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.
