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.
Anna Ruggero
October 6, 2022
QueryResultCache and FilterCache in Apache Solr
This blog post explores the internals of Apache Solr queryResultCache and filterCache through practical code examples.
Daniele Antuzi
April 14, 2022
How the Feature Vector Cache Is Used in Apache Solr
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Anna Ruggero
February 14, 2022
Apache Solr Neural Search
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
Alessandro Benedetti
January 24, 2022
Apache Solr Learning To Rank Feature Extraction and qTime
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
Anna Ruggero
January 12, 2022
Apache Solr sow Parameter (Split on Whitespace) and Multi-Field Full-Text Search
This blog post explores the Apache Solr multi-field search limitations with a focus on the sow(split on whitespace) parameter.
Alessandro Benedetti
May 19, 2021
Common Errors with Apache Solr Feature and Model Stores
Common errors and warnings in manipulating feature stores and models in Solr. Pay attention also to JVM Heap and Zookeeper.
Anna Ruggero
March 8, 2021
Apache Solr Learning to Rank Feature Stores and Models
How to list, upload, delete feature stores and models necessary in Solr for learning to rank.
Anna Ruggero
February 25, 2021
Apache Solr Learning To Rank Interleaving
Interleaving is an online evaluation approach for ranking functions, contributed to Apache Solr Learning to Rank by Sease.
Alessandro Benedetti
December 4, 2020
DocValues VS Stored Fields: Apache Solr Features and Performance SmackDown
This blog post aims to explain Docvalues and Store fields in Apache Solr for operations in which they can be used interchangeably.
Elia Porciani
March 25, 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.
