This blog is a quick summary of my (subjective) experience at Haystack 2019 : the Search Relevance Conference, hosted in Charlottesville (Virginia, USA) from 24/04/2019 to 25/04/2019.References to the slides will be updated as soon as they become available. First of all my feedback on the Haystack Conference is extremely positive.From my perspective the conference…
How faceting is calculated in Apache Solr distributed architectures. It presents inner details explanation and practical examples.
In this post we’ll cover two additional synonyms scenarios and we’ll try to summarise all previous tips in a coincise form.
Approach for searching multi-term entities/concepts out-of-the-box, without installing any additional components.
Approach for combining a Known Item Search with a regular Full-text Search, in a sample e-commerce context, using Apache Solr.
A list of steps to solve a recurrent failing state in the SolrCloud leader election in a distributed Apache Solr architecture.
This blog will focus on some tricky situations that can happen when running distributed search, the foundation for Apache Solr Scalability.
The focus here will be on the Apache Solr side configuration and usage with all the related tips and tricks.
Part 2 is about the model training for the Learning To Rank integration. We modelled our dataset, collected the data and refined it in Part1.
We’ll introduce you to Learning To Rank In Apache Solr. Start with us the exciting journey to bring LTR to production for your search engine.