Elasticsearch Serverless is in technical preview and available on AWS

Elasticsearch has announced a technical preview of Elasticsearch Serverless, designed to enhance the development of AI-driven search applications through a cloud-native, serverless architecture that separates compute from data using a Search AI Lake. This architecture allows for independent and automatic scaling of indexing and search processes, optimizing it for AI and machine learning tasks, particularly those requiring low-latency vector searches critical for real-time AI experiences. The platform simplifies operations by eliminating the need for node and version management and offers a pay-as-you-go pricing model, making it cost-effective. Developers benefit from a streamlined onboarding process with tools like the Developer Console and AI Playground, alongside new language clients tailored for serverless use. The service, initially available on AWS, aims to accelerate the deployment of AI applications by enabling faster prototyping and integration, with future plans to expand support to Azure and Google Cloud.

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