• Announcing Data Prepper 2.8.0

    Thu, May 16, 2024

    Data Prepper 2.8.0 continues to improve upon Data Prepper’s usefulness for search use cases by adding a new Amazon DocumentDB source, in addition to many other improvements. We’d like to highlight a few of the major ones for you.

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  • A comprehensive guide to setting up and connecting self-managed OpenSearch Dashboards with an Amazon OpenSearch Service domain

    Wed, May 15, 2024

    OpenSearch is a scalable, flexible, and extensible open-source software suite for search, analytics, security monitoring, and observability applications, licensed under Apache 2.0. OpenSearch Dashboards is a powerful and flexible data visualization and exploration platform that enables users to analyze and visualize large volumes of data. It is open-source software that provides a user-friendly interface for creating interactive dashboards, charts, and...

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  • Explore OpenSearch 2.14

    Tue, May 14, 2024

    OpenSearch 2.14 is live and ready for download! The latest version of OpenSearch is filled with updates that increase performance, improve usability, expand access to data sources, and help users build better search and machine learning (ML) applications. Read on for an overview of some of OpenSearch’s exciting new capabilities, and check out the release notes and our updated documentation...

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  • What if satellites spoke in vector?

    Tue, Apr 30, 2024

    Every once in a while I come across a use case that gets me really excited, not just because it aligns with my personal interests but also because I never would have thought that open-source tools would find their way into certain use cases. Recently I was lucky enough to learn about some very complicated real-world problems that could be...

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  • Multilingual search with OpenSearch

    Thu, Apr 25, 2024

    In traditional lexical search we often use text analysis to improve search results. OpenSearch uses analyzers to refine, tokenize, and convert text fields before storing them in an index. As an example, indexing <p><b>Actions</b> speak louder than <em>words</em></p> can result in the following indexed tokens: [action, speak, loud, word]. The behavior depends on the analyzers you define for your text...

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