Elastic 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.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
