Category: Amazon OpenSearch Service

In this blog post, we’ll dive into the various scenarios for how Cohere Rerank 3.5 improves search results for best matching 25 (BM25), a keyword-based algorithm that performs lexical search, in addition to semantic search. We will also cover how businesses can significantly improve user experience, increase engagement, and ultimately drive better search outcomes by implementing a reranking pipeline.

OpenSearch Service is a managed service for the OpenSearch search and analytics suite, which includes support for vector search. By running your OpenSearch 2.17+ domains on C/M/R 7i instances, you can achieve up to a 51% price-performance gain compared to the past R5 instances on OpenSearch Service. As we discuss in this post, this launch offers improvements to your infrastructure total cost of ownership (TCO) and savings.

In this post, we introduce a new mechanism called Reindexing-from-Snapshot (RFS), and explain how it can address your concerns and simplify migrating to OpenSearch.

Today we announced support for three new features for Amazon OpenSearch Serverless: Point in Time (PIT) search, which enables you to maintain stable sorting for deep pagination in the presence of updates, and PPL and SQL, which give you new ways to query your data. In this post, we discuss the benefits of these new features and how to get started.

In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona. This post illustrates how to build a document search RAG solution that makes sure only authorized users can access and interact with specific documents based on their roles, departments, and other relevant attributes. It combines OpenSearch Service and Amazon Cognito custom attributes to make a tag-based access control mechanism that makes it straightforward to manage at scale.

In this post, we show how to use Amazon Kinesis Data Streams to buffer and aggregate real-time streaming data for delivery into Amazon OpenSearch Service domains and collections using Amazon OpenSearch Ingestion. You can use this approach for a variety of use cases, from real-time log analytics to integrating application messaging data for real-time search. In this post, we focus on the use case for centralizing log aggregation for an organization that has a compliance need to archive and retain its log data.

This post focuses on introducing an active-passive approach using a snapshot and restore strategy. The snapshot and restore strategy in OpenSearch Service involves creating point-in-time backups, known as snapshots, of your OpenSearch domain. These snapshots capture the entire state of the domain, including indexes, mappings, and settings. In the event of data loss or system failure, these snapshots will be used to restore the domain to a specific point in time. The post walks through the steps to set up this disaster recovery solution, including launching OpenSearch Service domains in primary and secondary regions, configuring snapshot repositories, restoring snapshots, and failing over/failing back between the regions.

Today, we’re announcing timelines for end of Standard Support and Extended Support for legacy Elasticsearch versions up to 6.7, Elasticsearch versions 7.1 through 7.8, OpenSearch versions from 1.0 through 1.2, and OpenSearch versions 2.3 through 2.9 available on Amazon OpenSearch Service.

Amazon OpenSearch Service launches a modernized operational analytics experience that can provide comprehensive observability spanning multiple data sources, so that you can gain insights from OpenSearch and other integrated data sources in one place. The launch also introduces OpenSearch Workspaces that provides tailored experience for popular use cases and supports access control, so that you can create a private space for your use case and share it only to your collaborators.

Today, we are announcing dedicated coordinator nodes for Amazon OpenSearch Service domains deployed on managed clusters. When you use Amazon OpenSearch Service to create OpenSearch domains, the data nodes serve dual roles of coordinating data-related requests like indexing requests, and search requests, and of doing the work of processing the requests – indexing documents and […]