Blog
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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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Use flat object in OpenSearch
OpenSearch 2.7 introduced the new flat object field type. This field type is useful for objects with a large number of fields or when you are not familiar with the field names in your documents. The flat object field type treats the entire JSON object as a string. Subfields within the JSON object are accessible using the flat object field...
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