Let’s attenuate vocabulary mismatch leveraging document expansion using two modern transformer-based approaches.
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
In this blog post, we are going to measure KNN Search performance in Apache Solr from different points of view.
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
Learning about text ranking using Deep Learning with BERT transformer. From training to neural re-ranking, with code snippets and examples.
How does Artificial Intelligence impact Search? This post explores the state of the art of AI applied to Information Retrieval in Open Source.
Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations
This blog post explores the Apache Solr multi-field search limitations with a focus on the sow(split on whitespace) parameter.
This blog post aims to illustrate how to generate the query Id and how to manage the creation of the Training Set
This blog post is about several analysis on a LTR model and its explanation using the open source library SHAP