Apache Solr/Elasticsearch: How to Manage Multi-term Concepts out of the Box?
Approach for searching multi-term entities/concepts out-of-the-box, without installing any additional components.
Andrea Gazzarini
July 22, 2018
SolrCloud exceptions with Apache Zookeeper
Practical tips to follow when your client application encounters some classic exceptions dealing with SolrCloud and Apache Zookeeper.
Alessandro Benedetti
May 31, 2018
Apache Solr: orchestrating Known item and Full-text search
Approach for combining a Known Item Search with a regular Full-text Search, in a sample e-commerce context, using Apache Solr.
Andrea Gazzarini
May 30, 2018
SolrCloud Leader Election Failing
A list of steps to solve a recurrent failing state in the SolrCloud leader election in a distributed Apache Solr architecture.
Alessandro Benedetti
May 14, 2018
Give the height the right weight: quantities detection in Apache Solr
Blog about a quantity detection plugin for Solr that consists of a set of query parsers able to detect quantity entities within queries.
Andrea Gazzarini
April 13, 2018
Apache Solr: Chaining SearchHandler instances: the CompositeRequestHandler
In this post we will describe how to implement a server-side search workflow in Apache Solr by combining several SearchHandler instances.
Andrea Gazzarini
March 20, 2018
Distributed Search Tips for Apache Solr
This blog will focus on some tricky situations that can happen when running distributed search, the foundation for Apache Solr Scalability.
Alessandro Benedetti
November 27, 2017
Solr Is Learning To Rank Better – Part 4 – Solr Integration
The focus here will be on the Apache Solr side configuration and usage with all the related tips and tricks.
Alessandro Benedetti
October 23, 2016
Solr Is Learning To Rank Better – Part 3 – Ltr tools
This blog post is about the Apache Solr Learning to Rank Tools : a set of utilities for the Solr LTR integration.
Alessandro Benedetti
August 30, 2016
Solr Is Learning To Rank Better – Part 2 – Model Training
This blog is about the model training for the Learning To Rank integration, after we modelled our dataset, collected the data and refined it.
Alessandro Benedetti
August 24, 2016
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.
