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Elasticsearch Now Available as a Native Grounding Engine on Google Cloud’s Vertex AI Platform

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Elastic (NYSE: ESTC) has announced that its Elasticsearch vector database is now natively integrated with Google Cloud's Vertex AI platform as an information retrieval engine. This integration enables streamlined development of RAG (Retrieval-Augmented Generation) applications within a single workflow, eliminating the need for additional APIs and data orchestration.

The feature, currently in Public Preview, simplifies deployment with minimal configuration requirements, allowing developers to focus on building next-generation generative AI experiences.

Elastic (NYSE: ESTC) ha annunciato che il suo database vettoriale Elasticsearch è ora integrato nativamente con la piattaforma Vertex AI di Google Cloud come motore di recupero informazioni. Questa integrazione consente lo sviluppo semplificato di applicazioni RAG (Generazione Aumentata da Recupero) all'interno di un unico flusso di lavoro, eliminando la necessità di API aggiuntive e orchestrazione dei dati.

Questa funzionalità, attualmente in Anteprima Pubblica, semplifica il deployment con requisiti di configurazione minimi, consentendo agli sviluppatori di concentrarsi sulla creazione di esperienze di intelligenza artificiale generativa di nuova generazione.

Elastic (NYSE: ESTC) ha anunciado que su base de datos vectorial Elasticsearch ahora está integrada de forma nativa con la plataforma Vertex AI de Google Cloud como motor de recuperación de información. Esta integración permite el desarrollo simplificado de aplicaciones RAG (Generación Aumentada por Recuperación) dentro de un único flujo de trabajo, eliminando la necesidad de APIs adicionales y orquestación de datos.

La función, actualmente en Vista Pública, simplifica el despliegue con requisitos mínimos de configuración, permitiendo a los desarrolladores centrarse en la creación de experiencias de IA generativa de próxima generación.

Elastic (NYSE: ESTC)는 자사의 Elasticsearch 벡터 데이터베이스Google Cloud의 Vertex AI 플랫폼과 정보 검색 엔진으로 본격적으로 통합되었다고 발표했습니다. 이 통합은 추가 API 및 데이터 오케스트레이션의 필요성을 없애고 단일 워크플로우 내에서 RAG(검색 증강 생성) 애플리케이션의 간소화된 개발을 가능하게 합니다.

현재 공개 미리보기 중인 이 기능은 최소한의 구성 요구 사항으로 배포를 간소화하여 개발자가 차세대 생성 AI 경험 구축에 집중할 수 있도록 합니다.

Elastic (NYSE: ESTC) a annoncé que sa base de données vectorielle Elasticsearch est désormais intégrée nativement à la plateforme Vertex AI de Google Cloud en tant que moteur de recherche d'informations. Cette intégration permet le développement simplifié d'applications RAG (Génération Augmentée par Récupération) au sein d'un seul flux de travail, éliminant le besoin d'API supplémentaires et d'orchestration des données.

Cette fonctionnalité, actuellement en Aperçu Public, simplifie le déploiement avec des exigences de configuration minimales, permettant aux développeurs de se concentrer sur la création d'expériences d'IA générative de nouvelle génération.

Elastic (NYSE: ESTC) hat bekannt gegeben, dass seine Elasticsearch-Vektordatenbank jetzt nativ mit der Vertex AI-Plattform von Google Cloud als Informationsabruf-Engine integriert ist. Diese Integration ermöglicht die vereinfachte Entwicklung von RAG (Retrieval-Augmented Generation)-Anwendungen innerhalb eines einzigen Workflows und beseitigt die Notwendigkeit zusätzlicher APIs und Datenorchestrierung.

Die Funktion, die sich derzeit in der öffentlichen Vorschau befindet, vereinfacht die Bereitstellung mit minimalen Konfigurationsanforderungen und ermöglicht es Entwicklern, sich auf den Aufbau von KI-Erlebnissen der nächsten Generation zu konzentrieren.

Positive
  • Strategic partnership with Google Cloud enhances product offering
  • Native integration reduces technical complexity and implementation costs
  • Expands market reach through Google Cloud's Vertex AI platform
Negative
  • Feature still in Public Preview phase, not fully released

Integration streamlines RAG application development and eliminates the need for unnecessary APIs and data orchestration

SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, announced that the Elasticsearch vector database is now a natively supported information retrieval engine for Google Cloud’s Vertex AI platform.

“By integrating Elasticsearch as a native grounding engine in Google Cloud’s Vertex AI platform, our joint customers can seamlessly build RAG applications in a single workflow,” said Shay Banon, founder and chief technology officer at Elastic. “This solution enables faster deployment with minimal configuration, giving back time and bandwidth to developers building the next generation of generative AI experiences.”

This feature is currently in Public Preview. Read the Elastic blog to learn how to get started.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

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Source: Elastic N.V.

FAQ

What is the significance of Elasticsearch's integration with Google Cloud's Vertex AI platform?

The integration enables native support for Elasticsearch as a grounding engine, streamlining RAG application development and eliminating the need for additional APIs and data orchestration.

When will ESTC's Elasticsearch integration with Vertex AI be fully available?

The feature is currently in Public Preview phase, with full availability date not specified in the announcement.

What are the main benefits of Elasticsearch's new Vertex AI integration for developers?

Developers benefit from faster deployment, minimal configuration requirements, and the ability to build RAG applications in a single workflow.

How does the ESTC-Google Cloud integration affect application development workflow?

It simplifies the development process by providing native support for Elasticsearch as a grounding engine, eliminating the need for separate APIs and data orchestration steps.
Elastic N.V.

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