The 8.15 release contains a significant number of features, including more tools to fine tune relevance, additional model flexibility, and vector search improvements as well as advances in AI-driven security analytics to modernize onboarding of custom SIEM data in minutes. Following the donation of the Elastic Common Schema (ECS) and Universal Profiling to the OpenTelemetry (OTel) project, 8.15 also includes the next significant milestone in migrating to an OTel-first data architecture through OTel collector distribution. Additional highlights by solution include the following.
Elastic Search helps developers implement AI search apps on the industry’s most used vector database with out-of-the-box semantic search and generative AI capabilities.
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Read about how to easily incorporate semantic search into your search experiences via semantic text and reranking, the general availability (GA) of Learning to Rank and query rules, the tech preview of Elasticsearch’s inference API for additional third-party providers (Google AI/Vertex AI, Mistral, and Amazon Bedrock), and more in the Elastic Search highlights blog or in the 8.15 release notes.
Elastic Observability transforms metrics, logs, and traces into actionable IT insights to unify observability across the digital ecosystem.
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Read about the technical preview of the Elastic Distribution for OpenTelemetry Collector, native OTLP profiling support, the GA of Elastic AI Assistant enhancements, such as Google Vertex with Gemini 1.5 Pro model connector, the GA of LLM observability for Azure Open AI, and more in the Elastic Observability highlights blog or in the 8.15 release notes.
Elastic Security modernizes SecOps with AI-driven security analytics, accelerating threat detection, investigation, and response.
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Read about the tech preview of Automatic Import, which automates the development of custom data integrations using generative AI, the GA of a new API for the Elastic AI Assistant that facilitates automation and decision-making guidance across custom workflows, the GA of expanded LLM options to include Google’s Gemini 1.5 Pro and Flash LLMs, and more in the Elastic Security highlights blog or details in the 8.15 release notes.
The Elastic Search AI Platform combines the precision of search and the intelligence of AI. All users, regardless of use case, can benefit from core enhancements.
- Read about the GA of several enhancements in cross-cluster search (CCS), the GA of increased functionality within the Elasticsearch Query Language (ES|QL), the GA of a number of ES|QL UX enhancements within Kibana, the GA of several new machine learning features, the GA of various features for Logstash, and more in the Elasticsearch Platform highlights blog or in the 8.15 release notes.
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