Elasticsearch Open Inference API and Playground Support Google Cloud’s Vertex AI Platform
Elastic (NYSE: ESTC) has announced support for Google Cloud's Vertex AI platform in its Elasticsearch Open Inference API and Playground. This integration allows developers to use Vertex AI's text embedding and reranking models to build production applications on the Elasticsearch vector database. Additionally, the Elastic Playground now enables developers to prototype and iterate on RAG applications using Vertex AI and Google Cloud's Gemini models.
The collaboration aims to make a unified AI development platform accessible to Elastic developers, combining the strengths of Vertex AI and Elasticsearch. Developers can now store and use embeddings, refine retrieval to ground answers with proprietary data, and more. Google Cloud's Gemini models are available in the Elastic low-code playground experience, offering developers more options for A/B testing LLMs, tuning retrieval, and chunking.
Elastic (NYSE: ESTC) ha annunciato il supporto per la piattaforma Vertex AI di Google Cloud nella sua API di Inference Open di Elasticsearch e nel Playground. Questa integrazione consente agli sviluppatori di utilizzare i modelli di embedding testuale e di riordino di Vertex AI per costruire applicazioni di produzione sul database vettoriale di Elasticsearch. Inoltre, l'Elastic Playground ora permette agli sviluppatori di prototipare e iterare su applicazioni RAG utilizzando Vertex AI e i modelli Gemini di Google Cloud.
La collaborazione mira a rendere una piattaforma di sviluppo AI unificata accessibile agli sviluppatori di Elastic, combinando i punti di forza di Vertex AI e Elasticsearch. Gli sviluppatori possono ora memorizzare e utilizzare gli embedding, affinare il recupero per ancorare le risposte con dati proprietari, e altro ancora. I modelli Gemini di Google Cloud sono disponibili nell'esperienza di low-code playground di Elastic, offrendo agli sviluppatori più opzioni per testare A/B i LLM, ottimizzare il recupero e frammentare i dati.
Elastic (NYSE: ESTC) ha anunciado el soporte para la plataforma Vertex AI de Google Cloud en su API de Inference Abierto de Elasticsearch y en el Playground. Esta integración permite a los desarrolladores utilizar los modelos de incrustación de texto y reordenamiento de Vertex AI para construir aplicaciones de producción sobre la base de datos vectorial de Elasticsearch. Además, el Elastic Playground ahora permite a los desarrolladores prototipar e iterar aplicaciones RAG utilizando Vertex AI y los modelos Gemini de Google Cloud.
La colaboración tiene como objetivo hacer accesible una plataforma de desarrollo de IA unificada a los desarrolladores de Elastic, combinando las fortalezas de Vertex AI y Elasticsearch. Los desarrolladores ahora pueden almacenar y usar incrustaciones, refinar la recuperación para fundamentar respuestas con datos privados, y más. Los modelos Gemini de Google Cloud están disponibles en la experiencia de low-code playground de Elastic, ofreciendo a los desarrolladores más opciones para pruebas A/B de LLM, ajuste de la recuperación y fragmentación.
Elastic (NYSE: ESTC)는 Elasticsearch Open Inference API 및 Playground에서 Google Cloud의 Vertex AI 플랫폼에 대한 지원을 발표했습니다. 이 통합을 통해 개발자는 Vertex AI의 텍스트 임베딩 및 재순위 모델을 사용하여 Elasticsearch 벡터 데이터베이스에서 프로덕션 애플리케이션을 구축할 수 있습니다. 또한, Elastic Playground는 이제 개발자가 Vertex AI와 Google Cloud의 Gemini 모델을 사용하여 RAG 애플리케이션을 프로토타입하고 반복할 수 있도록 합니다.
이번 협업은 Vertex AI와 Elasticsearch의 강점을 결합하여 Elastic 개발자에게 통합 AI 개발 플랫폼을 접근할 수 있게 하는 것을 목표로 합니다. 개발자는 이제 임베딩을 저장하고 사용하며 독점 데이터를 통해 응답을 구체화할 수 있는 검색을 개선할 수 있습니다. Google Cloud의 Gemini 모델은 Elastic의 저코드 플레이그라운드 경험에서 사용 가능하며, 개발자에게 LLM의 A/B 테스트, 검색 조정 및 청크 분할에 대한 더 많은 옵션을 제공합니다.
Elastic (NYSE: ESTC) a annoncé le support de la plateforme Vertex AI de Google Cloud dans son API d'Inference Ouverte d'Elasticsearch et dans le Playground. Cette intégration permet aux développeurs d'utiliser les modèles d'incorporation de texte et de réordonnancement de Vertex AI pour créer des applications de production sur la base de données vectorielle d'Elasticsearch. De plus, le Playground d'Elastic permet désormais aux développeurs de prototyper et d'itérer sur des applications RAG en utilisant Vertex AI et les modèles Gemini de Google Cloud.
Cette collaboration vise à rendre une plateforme de développement IA unifiée accessible aux développeurs d'Elastic, combinant les forces de Vertex AI et d'Elasticsearch. Les développeurs peuvent désormais stocker et utiliser des embeddings, affiner le traitement pour ancrer les réponses avec des données propriétaires, et plus encore. Les modèles Gemini de Google Cloud sont disponibles dans l'expérience de playground low-code d'Elastic, offrant aux développeurs plus d'options pour les tests A/B des LLMs, l'ajustement de la récupération et le découpage.
Elastic (NYSE: ESTC) hat die Unterstützung für die Vertex AI-Plattform von Google Cloud in seiner Elasticsearch Open Inference API und Playground angekündigt. Diese Integration ermöglicht es Entwicklern, die Text-Embedding- und Neurangierungsmodelle von Vertex AI zu nutzen, um Produktionsanwendungen auf der Elasticsearch-Vektordatenbank zu erstellen. Darüber hinaus ermöglicht der Elastic Playground Entwicklern nun, RAG-Anwendungen mithilfe von Vertex AI und den Gemini-Modellen von Google Cloud zu prototypisieren und zu iterieren.
Die Zusammenarbeit zielt darauf ab, eine einheitliche AI-Entwicklungsplattform für Elastic-Entwickler zugänglich zu machen, die die Stärken von Vertex AI und Elasticsearch kombiniert. Entwickler können jetzt Embeddings speichern und verwenden, die Suche verfeinern, um Antworten mit proprietären Daten zu untermauern und vieles mehr. Die Modelle von Google Cloud sind in der Elastic Low-Code-Playground-Erfahrung verfügbar und bieten Entwicklern mehr Optionen für A/B-Tests von LLMs, das Feintuning von Suchvorgängen und Chunking.
- Integration with Google Cloud's Vertex AI platform enhances Elasticsearch's capabilities
- Developers can now use Vertex AI's text embedding and reranking models with Elasticsearch
- Elastic Playground now supports prototyping with Vertex AI and Google Cloud's Gemini models
- Collaboration expands AI development options for Elastic developers
- None.
Insights
The integration of Google Cloud's Vertex AI platform with Elasticsearch's Open Inference API and Playground represents a significant advancement in AI development tools for Elastic users. This collaboration enables developers to leverage Vertex AI's powerful text embedding and reranking models within the Elasticsearch ecosystem, potentially accelerating the development of production-ready RAG (Retrieval-Augmented Generation) applications.
The inclusion of Google Cloud's Gemini models in Elastic Playground offers developers a low-code environment for rapid prototyping and iteration. This could substantially reduce development time and lower the barrier to entry for creating sophisticated AI applications. The ability to A/B test LLMs, tune retrieval and adjust chunking directly within the Elastic environment may lead to more efficient and effective AI solution development.
While this integration is technologically impressive, its immediate financial impact on Elastic may be . The true value will likely emerge over time as developers create innovative applications that drive adoption of Elastic's services. Investors should monitor for increased usage metrics and potential new revenue streams resulting from this enhanced AI capability in future quarters.
This partnership between Elastic and Google Cloud positions Elastic more competitively in the rapidly growing AI and machine learning market. By integrating with Vertex AI, Elastic is expanding its ecosystem and potentially attracting a broader developer base, which could translate to increased market share and revenue growth in the long term.
The AI development tools market is projected to grow significantly, with some estimates suggesting a
For investors, this development signals Elastic's commitment to innovation and staying relevant in the AI space. While the immediate financial impact may be minimal, the long-term potential for increased adoption and revenue growth makes this a positive development. Investors should watch for metrics such as developer adoption rates, new customer acquisitions and any shifts in Elastic's revenue mix towards AI-related services in upcoming financial reports.
Developers benefit from Vertex AI’s fully managed AI development platform when building production-ready RAG applications with Elastic
“We're excited to collaborate with Elastic to bring Vertex AI and Gemini models to even more developers,” said Warren Barkley, senior director of Product Management for Vertex AI at Google Cloud. “As innovation in generative AI and RAG applications continues to grow, this integration with Elasticsearch will enable the Elastic community to easily and effectively harness Vertex AI and our models to build transformative applications.”
“Our latest integration with Google Cloud’s Vertex AI platform makes a unified AI development platform accessible to Elastic developers, said Shay Banon, founder and chief technology officer at Elastic. “Vertex AI and Elasticsearch are proven at a vast scale, and we’re looking forward to seeing what developers build with their combined capabilities.”
Developers using Elasticsearch and Vertex AI can now store and use embeddings, refine retrieval to ground answers with proprietary data and more. Google Cloud’s Gemini models are available in the Elastic low-code playground experience, giving developers more choices when A/B testing LLMs, tuning retrieval and chunking.
Support for Vertex AI is available today. Read the Open Inference API and Playground blogs to get started.
For more information on previous integrations between Elastic and Google Gemini 1.5 models via Vertex AI, read the Elastic blog.
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
Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
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