Efficient large-scale filtering with bitmap filtering in OpenSearch
OpenSearch is a powerful open-source search and analytics engine that enables you to efficiently search and filter large datasets. A common search pattern involves... Read more.
OpenSearch Project update: A look at performance progress through version 2.17
Our commitment to enhancing OpenSearch’s performance remains unwavering, and this blog post showcases the significant progress we’ve made. Recently, we’ve... Read more.
Optimize storage and performance with the MatchOnlyText field in OpenSearch
The OpenSearch Project introduced a new field type called match_only_text in version 2.12. This field type is designed for full-text search scenarios where... Read more.
Boosting Hybrid query performance in OpenSearch 2.15
Since its introduction in OpenSearch 2.10, hybrid search has become popular among users looking to enhance the relevance of their semantic search results. By combining... Read more.
OpenSearch Project update: A look at performance progress through version 2.14
OpenSearch covers a broad range of functionality for applications involving document search, e-commerce search, log analytics, observability, and data analytics.... Read more.
Byte-quantized vectors in OpenSearch
Until now, the OpenSearch k-NN plugin has supported the indexing and querying of vectors of type float, with each vector element occupying 4 bytes. This can be expensive... Read more.
Expanding k-NN with Lucene approximate nearest neighbor search
OpenSearch pioneered k-nearest neighbor (k-NN) within search engines in 2019, and developers have adopted it enthusiastically on sets of millions or even billions... Read more.
