Blog
-
Learn-to-Rank with OpenSearch and Metarank
Metarank is an open-source secondary ranker that can perform advanced search results by reordering the results with a LambdaMART learning to rank (LTR) model. In this post, we’ll discuss why and when an LTR approach to ranking may be helpful and how Metarank implements LTR on top of OpenSearch.
Read More -
OpenSearch automated build system is now live
The OpenSearch Project deployed automated build, test, and release infrastructure that supports the end-to-end lifecycle of public distributions with the launch of OpenSearch 2.3.0. This includes the migration of OpenSearch Gradle check workflows that are run on every PR merge to the public infrastructure. Community members can now view logs by accessing the build infrastructure to understand the current state...
Read More -
Partner Highlight: AWS explores different k-NN algorithms and workload optimizations
OpenSearch partner and contributor AWS recently published a blog that focuses on the different algorithms and techniques used to perform approximate k-NN search at scales of more than a billion data points within OpenSearch. In the blog, Othmane Hamzaoui, AI/ML Specialist Solutions Architect with AWS, and Jack Mazanec, Software Dev Engineer and OpenSearch committer, explain algorithms including Hierarchical Navigable Small...
Read More -
Are you asking the right people the right questions?
There's no better feeling than getting some help from a living, breathing human being and finding out I'm not alone in my struggle.
Read More -
Adopting inclusive language across OpenSearch
We are removing exclusionary language from the OpenSearch Project, including from APIs, documentation, and source code. Specifically, we are replacing the non-inclusive terms "master" and "blacklist/whitelist" with inclusive language throughout the OpenSearch Project.
Read More