Red Hat and Elastic Fuel Retrieval Augmented Generation for GenAI Use Cases - Seite 2

Red Hat OpenShift AI paired with Elasticsearch allows for deeper and more comprehensive customer support, as well as further innovation and integration with Red Hat’s vast ecosystem of AI partners. Successful implementations of GenAI help to build trust in AI solutions, leading to greater AI adoption and, ultimately, more user choice in the AI market.

This expansion of Red Hat’s existing collaboration with Elastic exemplifies the positive impact AI can have on business applications and the broader market. By meeting enterprises where they are in their adoption of AI, Red Hat is helping them harness often underutilized data, which can be a major differentiator for organizations.

Red Hat Summit

Join the Red Hat Summit keynotes to hear the latest from Red Hat executives, customers and partners:

• The cloud is hybrid. So is AI. — Tuesday, May 7, 8-10 a.m. MDT (YouTube, LinkedIn)
• Optimizing IT for the AI era. — Wednesday, May 8, 8:30-9:30 a.m. MDT (YouTube, LinkedIn)

Supporting Quotes

Steven Huels, vice president and general manager, AI Business Unit, Red Hat
“Building upon our existing collaboration with Elastic provides a value beyond RAG support for our existing customers - it shows how AI use cases continue to expand for organizations everywhere across the hybrid cloud. Broadening our partner ecosystem through our collaboration with Elastic strengthens users’ power of choice on a reliable, consistent AI platform. We’re pleased to bring new support for RAG patterns, a critical first step for enterprises beginning their AI journeys and building trust within the AI marketplace.”

Matt Riley, general manager, Search, Elastic
“Elastic’s collaboration with Red Hat is an exemplary case of advanced open code providers working together to enrich and accelerate developers’ use of vector databases. Elastic’s enterprise customers rely on our vector database for key business applications that require performance at scale, making a natural alignment with Red Hat OpenShift AI. Red Hat’s hybrid MLOps and GenAI application development lifecycle tools will enable Elasticsearch developers to build RAG and AI-enabled search applications more easily.”