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  • Discussing open-source innovation at Open Source Summit North America

    Thu, Apr 18, 2024

    This week I had the honor of speaking about OpenSearch at Open Source Summit North America, organized by the Linux Foundation. This annual conference brings together open-source technologists, business leaders, academics, and others with a rich program of educational sessions and colocated events, and the OpenSearch Project is proud to be a sponsor.

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  • OpenSearchCon Europe speakers and sessions are live!

    Wed, Apr 17, 2024

    Following an overwhelming response to our call for presentations, the [speakers](https://opensearch.org/events/opensearchcon/2024/europe/speakers/index.html) and [sessions](https://opensearch.org/events/opensearchcon/2024/europe/sessions/index.html) for OpenSearchCon Europe have been selected. We’re delighted to present 22 sessions covering timely topics related to search, observability, security, operations, performance optimization, and more across 2 days of learning and community building.

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  • A time machine for your data: OpenSearch searchable snapshots

    Mon, Apr 15, 2024

    Many organizations scaling up open-source databases such as OpenSearch are currently grappling with how to most efficiently store and search massive amounts of data. As a leading managed service provider for OpenSearch, this is something Instaclustr by NetApp is only too familiar with. We also utilize OpenSearch internally as a way of organizing, storing, and retrieving the massive amounts of...

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  • Multimodal search: Searching with semantic and visual understanding

    Thu, Apr 11, 2024

    As we witness the evolution of ML models, like large language models (LLMs), imagine if they possessed a new dimension – the ability to comprehend images. Similar to the game-changing impact of LLMs in chatbots and text data, this new capability has the potential to revolutionize businesses by allowing ML models to decipher and categorize extensive image collections within enterprise...

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  • Configurable automation for OpenSearch ML use cases

    Mon, Apr 08, 2024

    In OpenSearch, to use machine learning (ML) offerings, such as semantic, hybrid, and multimodal search, you often have to grapple with complex setup and preprocessing tasks. Additionally, you must write verbose queries, which can be a time-consuming and error-prone process.

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