Elasticsearch Open Inference API breidt ondersteuning uit naar Google AI Studio en Vertex AI-platform
Search AI-bedrijf Elastic kondigt aan dat de Elasticsearch Open Inference API nu ondersteuning biedt voor Google AI Studio. Daarnaast ondersteunen de ElasticSearch Open Inference API en Playground ook Google Cloud’s Vertex AI-platform. Met deze aankondigingen helpt Elastic bedrijven en ontwikkelaars bij de snellere adoptie en kapitalisatie van AI.
De integratie van Google AI Studio in de Open Inference API maakt het mogelijk om data in Elasticsearch te benutten, waardoor ontwikkelaars toegang krijgen tot een volledig scala aan geavanceerde zoek- en retrieval-mogelijkheden.
Ontwikkelaars kunnen nu de tekst-embedding- en reranking-modellen van het Google Cloud’s Vertex AI-platform gebruiken om productie-applicaties te bouwen op de Elasticsearch vector-database. Daarnaast is het mogelijk om met Elastic Playground snel prototypes te maken en te itereren op RAG-applicaties met Vertex AI en de Gemini-modellen van Google Cloud.
Zie voor meer informatie:
- De twee Engelstalige persberichten (onderstaand)
- Het blog voor Google AI Studio-ondersteuning voor meer details: blog
- Het blog over eerdere integraties tussen Elastic en Google Gemini 1.5-modellen via Vertex AI: blog.
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Elasticsearch Open Inference API now Supports Google AI Studio
Developers can now use Elasticsearch to interact with data, run experiments and build applications using models available from Google AI Studio
Elastic (NYSE: ESTC), the Search AI Company, today announced the ElasticsearchOpen Inference API now supports the Gemini Developer API. Through Google AI Studio, developers can now interact with data in their Elasticsearch indexes, quickly run experiments and build applications using Google’s models such as Gemini 1.5 Flash. Google AI Studio is where Google releases the latest models from Google DeepMind and is the fastest way to start building with Gemini.
“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.
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Elasticsearch Open Inference API and Playground Support Google Cloud’s Vertex AI Platform
Developers benefit from Vertex AI’s fully managed AI development platform when building production-ready RAG applications with Elastic
Elastic (NYSE: ESTC), the Search AI Company, today announced support for Google Cloud’s Vertex AI platform in the Elasticsearch Open Inference API and Playground. Developers can now use Vertex AI’s text embedding and reranking models to build production applications on the Elasticsearch vector database. Also, with Elastic Playground, developers can quickly prototype and iterate on RAG applications with Vertex AI and Google Cloud’s Gemini models.
“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 50% of the Fortune 500. Learn more at elastic.co.
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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