We’ve been providing Elasticsearch consulting since Elasticsearch was launched and helped many search teams build powerful and accurate applications on this platform.

Working with the Wikimedia Foundation we developed the Elasticsearch Learning to Rank plugin, which uses machine learning to automatically re-rank search results. The book Relevant Search, written by OSC employees and published by Manning, uses Elasticsearch as the example search engine.

We create and maintain open source plugins, extensions and tools for Elasticsearch including Quepid, the test-driven relevancy dashboard.

We teach relevance engineering with Elasticsearch in our Think Like a Relevance Engineer Elasticsearch training, via our regular blogs and via our Youtube channel. Our Haystack conference series, including the regular Haystack LIVE! Meetup focuses on relevance engineering. Our free Relevance Slack community has nearly 5000 members and dedicated #elasticsearch and #es-learn-to-rank channels.