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The ABCs of semantic search in OpenSearch: Architectures, benchmarks, and combination strategies
In an earlier blog post, we described different ways of building a semantic search engine in OpenSearch. In this post, we'll dive further into the science behind it. We'll discuss...
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 of vectors. OpenSearch continues to innovate in...
Partner Highlight: Using OpenSearch to set up a hybrid system that uses text and vector search
On their own, text databases and vector search tools can add a lot of value to commercial workloads. A recent blog post by Noam Schwartz of OpenSearch Project Partner, Searchium.ai,...
Building a semantic search engine in OpenSearch
Semantic search helps search engines understand queries. Unlike traditional search, which takes into account only keywords, semantic search also considers their meaning in the search context. Thus, a deep-neural-network-based semantic...