Event
Haystack US 2024
…LexisNexis, Reddit, Yelp, Wolters Kluwer, MongoDB & Elastic. Early bird tickets are available until March 22nd (or until they run out!). We’ve got talks on measuring relevance, vector search, RAG,…
…similarities to the approaches taken by MongoDB and Elastic to restrict the use of their software by cloud hosting companies like Amazon, as I’ve written about previously. Why does it…
…implement collaborative filtering, I see a future where recommendation systems aren’t just the domain of sophisticated organizations. Increasingly, I see a shift towards search engines like Solr or Elasticsearch as…
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 come…
…from time-to-time to compare the two, and the quick answer is that Elasticsearch is “Logs, Logs, Logs.” The Elasticsearch search engine itself is general-purpose, but Elastic the company has put…
…about Elasticsearch analyzers. Without analyzers, your search engine would be a rather unintelligent string comparison system instead of a smart, powerful search engine. Analyzers are the text-processing pipeline that feed…
…Elasticsearch expert Chris Fournier, Sean Mullane, another Charlottesville-based search expert with a background in healthcare search and Michael Froh who also works on AWS OpenSearch (if I’ve forgotten and you…
We built the Elasticsearch Learning to Rank (LTR) plugin with the Wikimedia Foundation several years ago and we’ve been pleased to see how it’s been adopted by many companies wanting…
…of good search people (and if you reach the hallowed halls of Solr Committer you can basically write your own ticket, and if you’re great at Elasticsearch then Elastic will…
…I’m thus very happy to announce that we’ll be offering our Think Like a Relevance Engineer (TLRE) training for Elasticsearch online during Haystack week, with TLRE for Solr following the…
…you tremendous low-level control of your relevance. Yet one thing has always bugged me with Elasticsearch. You can’t inspect the step-by-step behavior of an analyzer very easily. You have the…
…changes, instead of blindly tuning, guessing, and breaking. I believe Quepid is the missing ingredient of Solr and Elasticsearch. I’ve enjoyed seeing how Solr and Elasticsearch have broken into exciting…