Blog
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An update on the OpenSearch Project’s continued performance progress through version 2.11
OpenSearch is a community-driven, open-source search and analytics suite used by developers to ingest, search, visualize, and analyze data. Introduced in January 2021, the OpenSearch Project originated as an open-source fork of Elasticsearch 7.10.2. OpenSearch 1.0 was released for production use in July 2021 and is licensed under the Apache License, Version 2.0 (ALv2), with the complete codebase published to...
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OpenSearch research: Customer expectations of an intelligent dashboard assistant
Given the increasing demand for artificial intelligence (AI), the obvious evolution of the dashboard user experience is the development of an intelligent assistant. User experience relies predominantly on the maturity of the design experience, which is based on six levels of development. As defined by Nielsen, this process of evolution delineates the presence of UX across several states: absent, limited,...
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Announcing the OpenSearch Project Leadership Committee
We are taking another step on our journey toward a community-driven model of governance. We are thrilled to announce a sustaining OpenSearch Project Leadership Committee (LC) to help the OpenSearch community advance toward these goals.
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Semantic Search with OpenSearch: Architecture options and Benchmarks
Unlike traditional lexical search algorithms such as BM25, which only take keywords into account, semantic search improves search relevance by understanding the context and semantic meaning of search terms and context. In general, semantic search has two key elements: 1. Embedding generation: A machine learning (ML) model, usually a deep neural network model (for example, TAS-B) is used to generate...
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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 semantic search. You’ll find that neural sparse search reduces costs, performs faster, and improves search relevance. We’re excited to share benchmarking results and show how neural sparse search outperforms other search methods. You can even try it...
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