Laser Focus World is an industry bedrock—first published in 1965 and still going strong. We publish original articles about cutting-edge advances in lasers, optics, photonics, sensors, and quantum technologies, as well as test and measurement, and the shift currently underway to usher in the photonic integrated circuits, optical interconnects, and copackaged electronics and photonics to deliver the speed and efficiency essential for data centers of the future.

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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

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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