
Apache Lucene BlendedInfixSuggester: How It Works, Bugs And Improvements
This blog post explores in detail the current status of the Apache Lucene BlendedInfixSuggester and how it works.

This blog post explores in detail the current status of the Apache Lucene BlendedInfixSuggester and how it works.

Approach for combining a Known Item Search with a regular Full-text Search, in a sample e-commerce context, using 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.

In this post we will describe how to implement a server-side search workflow in Apache Solr by combining several SearchHandler instances.

The focus here will be on the Apache Solr side configuration and usage with all the related tips and tricks.

This blog post is about the Apache Solr Learning to Rank Tools : a set of utilities for the Solr LTR integration.

This blog is about the model training for the Learning To Rank integration, after we modelled our dataset, collected the data and refined it.

We introduce you to Learning To Rank In Apache Solr. Start the exciting journey to bring LTR to production for your search engine.

In this blog post, we will explain the internals of Apache Solr and the Lucene Inverted Index in more detail.

This blog post is about the Apache Solr Suggester feature. Here you find all the available implementations with examples and tricks and tips.
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.
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