Main blog
Welcome to our Main Blog, the cornerstone of our exploration into information retrieval. This dedicated space serves as a comprehensive repository where we delve into our research, findings, and various topics predominantly centered around information retrieval.
Apache Solr Neural Search Tutorial
In this blog post, we show in practice how you use Apache Solr to index and search vectors and then run a full end-to-end neural search.
OpenSearch Neural Search Plugin Tutorial
This blog post explores the new OpenSearch neural search plugin, given a detailed description of it through our end-to-end experience.
Impact of Large Stored Fields on Apache Solr Query Performance
This blog post analyzes and discovers the impact of large stored fields on Apache Solr query performance.
Categorical Features in Apache Solr Learning to Rank
In this blog post we present the available learning to rank Apache Solr features with a focus on categorical features and how to manage them.
Train and Test Sets Split for Evaluating Learning To Rank Models – Part 2
What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?
Train and Test Sets Split for Evaluating Learning To Rank Models
How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?
Elasticsearch Disk Space Issue and Rollover Solution
What is a cluster_block_exception in Elasticsearch? How to solve it? Let's define an index management policy with a rollover strategy.
Have Neural Networks Killed the Inverted Index?
DeepImpact is a new document term-weighting scheme suitable for efficient sparse retrieval using a standard inverted index.
QueryResultCache and FilterCache in Apache Solr
This blog post explores the internals of Apache Solr queryResultCache and filterCache through practical code examples.