Improving search efficiency and accuracy with the newest v2 neural sparse models
Neural sparse search is a novel and efficient method for semantic retrieval, introduced in OpenSearch 2.11. Sparse encoding models encode text into (token,... Read more.
Introducing the neural sparse two-phase algorithm
Neural sparse search is a new, efficient method of semantic retrieval introduced in OpenSearch 2.11. Like dense semantic matching, neural sparse search interprets... Read more.
A deep dive into faster semantic sparse retrieval in OpenSearch 2.12
In our last blog post, we introduced neural sparse search, a new efficient method of semantic retrieval made generally available in OpenSearch 2.11. We... Read more.
Improving document retrieval with sparse semantic encoders
OpenSearch 2.11 introduced neural sparse search—a new efficient method of semantic retrieval. In this blog post, you’ll learn about using sparse encoders for... Read more.
New for OpenSearch Dashboards: Long-running operation notifications and component templates
OpenSearch Dashboards now provides two additional UI elements to simplify index management: notifications for long-running operations and component... Read more.
