Blog
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Improving JSON parsing performance in opensearch-java
As an open-source enthusiast, I believe in the power of collaboration to make open-source projects faster and more efficient. In this blog post, I will share how my team at Linagora, contributing to the Apache James project, identified and addressed a performance issue in the OpenSearch Java client using benchmark tools and flame graphs, in collaboration with the OpenSearch community....
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Partner highlight: Exploring OpenSearch’s vector database capabilities
Many organizations are turning to machine learning (ML) tools to enhance their search applications. Among those tools are ML embedding models, which can encode the meaning and context of documents, images, and audio into vectors. Those vectors can be stored and indexed within a vector database, then searched to identify similarities. Ultimately, this functionality can be used to augment search...
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End-to-end acknowledgments in Data Prepper
Data Prepper is an open-source data collector used to ingest data into OpenSearch clusters. In addition to Data Prepper’s in-memory buffer, which allows for fast throughput, users also want improved data durability, particularly, confirmation that the data received by Data Prepper reaches the desired sink. End-to-end acknowledgments give Data Prepper this capability.
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OpenSearch Partners with Key lime Interactive for Usability Studies: Admin Panel Workflows
Usability is vital in facilitating successful interactions between users and technology. In software, usability refers to the ability of a product to be understood, learned, and used by the user.
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Registration for OpenSearchCon 2023 is now open!
The OpenSearch Project invites all builders to Seattle this fall, to celebrate the success of the OpenSearch Project and look to the future of search, analytics, and Generative AI. Join us to learn how to build at scale!
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