Recap of Lucene Revolution 2015 in Austin
Every one of us at OSC looks forward to Lucene Revolution. It’s one of the few conferences we attend where everyone understands search at a deep level. That means…
Every one of us at OSC looks forward to Lucene Revolution. It’s one of the few conferences we attend where everyone understands search at a deep level. That means…
This year OpenSource Connections rolled into Cassandra Summit with 4 attendees. Eric Pugh, Matt Overstreet, and John Woodell attended some of the 137 sessions offered. Matt walked away from…
There’s something new cooking in how Lucene scores text. Instead of the traditional “TF*IDF,” Lucene just switched to something called BM25 in trunk. That means a new scoring formula…
We’re talking to customers about what challenges they are experiencing in returning highly relevant search results this week while we are at LuceneRevolution. I was really happy when during…
When the Charlottesville Women in Technology (CWiT) team first contacted Opensource Connections (OSC) about whether or not we wanted to sponsor CWiT for the year, to be honest I…
Carefully prune the bonsai tree with Quepid for Elasticsearch 🙂 Good news! We’re proud to announce our test-driven search toolbench Quepid now supports Elasticsearch. Quepid solves fundamental problems that…
Ever since Tim Potter from LucidWorks published his Spark Solr project, I’ve been wanting to play with it. This week I was at Cassandra Summit 2015 , and so…
I love stringing together custom analyzers to solve my search problems. Analyzers control how search and document text are transformed, step-by-step into individual terms for matching. This in turn…
No need for analysis paralysis! 🙂 Get Relevant Search today and use offer code turnbullmu for 38% off all formats! In Chapter 4 of Relevant Search, we talk a…
Quepid: the missing ingredient in your relationship with your Solr and Elasticsearch. Just like true love, better search need not be so complicated When I first got involved in…
Until recently, the only option for scoring results in Quepid was a simplistic 1 to 10 scale with a standard Quepid scoring algorithm. Now users can create their own…
JMESPath Query in the AWS CLI At OSC we empower the world’s best search teams – if you have a search engine project using Apache Solr or Elasticsearch and…