OpenSearch and Large Language Models
In this blog post, we provide a comprehensive overview of the features based on large language models (LLM) currently supported by OpenSearch.
Ilaria Petreti
November 24, 2025
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 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
Apache Solr Neural Highlighting Plugin
Discover in this blog post the Solr Neural Highlighter Plugin, which uses deep learning to highlight essential text for query answering.
Ilaria Petreti
May 25, 2023
Explaining Learning to Rank Models with Tree Shap
Explainability and Interpretability of Learning To Rank models are vital in Information Retrieval, in this blog we present Tree SHAP.
Anna Ruggero
July 15, 2020
The Importance of Online Testing in Learning to Rank – Part 1
It is fundamental to online test your Learning To Rank system, this blog shows you how it can be implemented and the most common mistakes.
Anna Ruggero
April 29, 2020
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.
