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.
