Elasticsearch Open Inference API now Supports Google AI Studio
Elastic (NYSE: ESTC) has announced that its Elasticsearch Open Inference API now supports the Gemini Developer API through Google AI Studio. This integration allows developers to interact with data in Elasticsearch indexes, run experiments, and build applications using Google's models like Gemini 1.5 Flash.
Google AI Studio, which releases the latest models from Google DeepMind, provides the fastest way to start building with Gemini. The integration enables developers to iterate on and prototype generative AI experiments using Elastic as a vector store. Elastic's founder and CTO, Shay Banon, emphasized that this integration gives developers access to Elastic's complete range of advanced search retrieval capabilities.
Support for Google AI Studio is available immediately, allowing developers to test, iterate, and quickly bring their generative AI applications to production.
Elastic (NYSE: ESTC) ha annunciato che la sua Elasticsearch Open Inference API ora supporta il Gemini Developer API attraverso Google AI Studio. Questa integrazione permette agli sviluppatori di interagire con i dati negli indici di Elasticsearch, condurre esperimenti e costruire applicazioni utilizzando i modelli di Google come Gemini 1.5 Flash.
Google AI Studio, che rilascia i modelli più recenti di Google DeepMind, offre la maniera più rapida per iniziare a costruire con Gemini. L'integrazione consente agli sviluppatori di iterare e prototipare esperimenti di AI generativa utilizzando Elastic come archivio vettoriale. Il fondatore e CTO di Elastic, Shay Banon, ha sottolineato che questa integrazione fornisce agli sviluppatori accesso all'intera gamma di capacità avanzate di ricerca e recupero di Elastic.
Il supporto per Google AI Studio è disponibile immediatamente, permettendo agli sviluppatori di testare, iterare e portare rapidamente le loro applicazioni di AI generativa in produzione.
Elastic (NYSE: ESTC) ha anunciado que su Elasticsearch Open Inference API ahora es compatible con el Gemini Developer API a través de Google AI Studio. Esta integración permite a los desarrolladores interactuar con datos en los índices de Elasticsearch, realizar experimentos y crear aplicaciones utilizando los modelos de Google como Gemini 1.5 Flash.
Google AI Studio, que lanza los modelos más recientes de Google DeepMind, proporciona la manera más rápida de comenzar a construir con Gemini. La integración permite a los desarrolladores iterar y prototipar experimentos de IA generativa utilizando Elastic como un almacén vectorial. El fundador y CTO de Elastic, Shay Banon, enfatizó que esta integración brinda a los desarrolladores acceso a la completa gama de capacidades avanzadas de recuperación de búsqueda de Elastic.
El soporte para Google AI Studio está disponible inmediatamente, lo que permite a los desarrolladores probar, iterar y llevar rápidamente sus aplicaciones de IA generativa a producción.
Elastic (NYSE: ESTC)는 Elasticsearch Open Inference API가 이제 Google AI Studio를 통해 Gemini Developer API를 지원한다고 발표했습니다. 이 통합을 통해 개발자는 Elasticsearch 인덱스의 데이터와 상호 작용할 수 있습니다, 실험을 수행하고 Gemini 1.5 Flash와 같은 Google의 모델을 사용하여 애플리케이션을 구축할 수 있습니다.
Google AI Studio는 Google DeepMind의 최신 모델을 출시하며, Gemini로 구축을 시작하는 가장 빠른 방법을 제공합니다. 이 통합은 개발자가 생성 AI 실험을 반복하고 프로토타입할 수 있도록 Elastic을 벡터 저장소로 사용할 수 있게 합니다. Elastic의 창립자이자 CTO인 Shay Banon은 이 통합이 개발자에게 Elastic의 고급 검색 회수 기능 전체 범위에 접근할 수 있게 한다고 강조했습니다.
Google AI Studio에 대한 지원은 즉시 제공됩니다, 이를 통해 개발자는 자신들의 생성 AI 애플리케이션을 테스트하고 반복하며 신속하게 프로덕션으로 가져올 수 있습니다.
Elastic (NYSE: ESTC) a annoncé que son API Elasticsearch Open Inference prend désormais en charge l'API développeur Gemini via Google AI Studio. Cette intégration permet aux développeurs de interagir avec les données dans les index Elasticsearch, de mener des expériences et de créer des applications en utilisant des modèles de Google comme Gemini 1.5 Flash.
Google AI Studio, qui publie les derniers modèles de Google DeepMind, offre le moyen le plus rapide de commencer à construire avec Gemini. L'intégration permet aux développeurs de itérer et de prototyper des expériences d'IA générative en utilisant Elastic comme magasin vectoriel. Le fondateur et CTO d'Elastic, Shay Banon, a souligné que cette intégration donne aux développeurs accès à l'ensemble de la gamme de capacités avancées de recherche et de récupération d'Elastic.
Le support pour Google AI Studio est disponible immédiatement, permettant aux développeurs de tester, d'itérer et de rapidement mettre en production leurs applications d'IA générative.
Elastic (NYSE: ESTC) hat angekündigt, dass die Elasticsearch Open Inference API jetzt das Gemini Developer API über Google AI Studio unterstützt. Diese Integration ermöglicht es Entwicklern, mit Daten in Elasticsearch-Indizes zu interagieren, Experimente durchzuführen und Anwendungen mit Googles Modellen wie Gemini 1.5 Flash zu erstellen.
Google AI Studio, das die neuesten Modelle von Google DeepMind veröffentlicht, bietet den schnellsten Weg, um mit Gemini zu beginnen. Die Integration ermöglicht es Entwicklern, generative AI-Experimente zu iterieren und Prototypen zu erstellen, wobei Elastic als Vektor-Speicher fungiert. Der Gründer und CTO von Elastic, Shay Banon, betonte, dass diese Integration den Entwicklern Zugang zu der gesamten Bandbreite an fortschrittlichen Such- und Retrieval-Funktionen von Elastic bietet.
Die Unterstützung für Google AI Studio ist sofort verfügbar, sodass Entwickler ihre generativen AI-Anwendungen testen, iterieren und schnell in die Produktion bringen können.
- Integration with Google AI Studio expands Elasticsearch's capabilities
- Enables developers to use Google's advanced AI models like Gemini 1.5 Flash
- Provides access to Elastic's advanced search retrieval capabilities
- Immediate availability of the new feature
- None.
Insights
The integration of Google AI Studio with Elasticsearch's Open Inference API marks a significant advancement in AI development capabilities. This collaboration allows developers to leverage Elasticsearch's robust data indexing and retrieval capabilities alongside Google's cutting-edge AI models, particularly the Gemini series.
Key benefits include:
- Streamlined AI development process, enabling faster prototyping and iteration
- Access to Google's latest models, including Gemini 1.5 Flash, directly within Elasticsearch
- Enhanced data interaction capabilities, combining Elasticsearch's search prowess with Google's AI
- Potential for more sophisticated and efficient AI-powered applications
While this integration is technologically impressive, its immediate financial impact on Elastic may be The true value lies in attracting more developers to Elastic's ecosystem, potentially driving long-term growth and competitiveness in the AI-enhanced search market.
This partnership positions Elastic strategically in the rapidly evolving AI market. By integrating with Google AI Studio, Elastic is aligning itself with a major player in the AI space, potentially increasing its appeal to enterprise customers and developers.
Market implications:
- Increased competitiveness against other vector databases and AI-enabled search solutions
- Potential for expanded market share in the growing AI development tools sector
- Enhanced value proposition for Elastic's existing and prospective customers
However, the immediate financial impact may be minimal. The true test will be Elastic's ability to capitalize on this integration by attracting new customers and retaining existing ones in the face of fierce competition in the AI infrastructure market. Investors should monitor adoption rates and any subsequent changes in Elastic's revenue growth or customer acquisition costs in the coming quarters.
Developers can now use Elasticsearch to interact with data, run experiments and build applications using models available from Google AI Studio
“Google Cloud is dedicated to helping our developers build efficiently so they can get up and running quickly,” said Mat Velloso, vice president of product, AI/ML Developer at Google Cloud. “Today’s integration of Google AI Studio allows engineers to iterate on and prototype generative AI experiments using Elastic as a vector store.”
“Developers want to test, iterate, and take their generative AI applications to production quickly,” said Shay Banon, founder and chief technology officer at Elastic. “Integrating Google AI Studio into our Open Inference API enables utilization of data in Elasticsearch, giving developers access to our complete range of advanced search retrieval capabilities.”
Support for Google AI Studio is available today. Read the blog for full details.
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.
View source version on businesswire.com: https://www.businesswire.com/news/home/20240927268840/en/
Media Contact
Elastic PR
PR-team@elastic.co
Source: Elastic N.V.
FAQ
What new feature has Elastic (ESTC) announced for its Elasticsearch Open Inference API?
How does the integration with Google AI Studio benefit developers using Elastic (ESTC)?
When is the support for Google AI Studio available in Elastic's (ESTC) Elasticsearch Open Inference API?
What specific Google AI model is mentioned in Elastic's (ESTC) announcement?
