Red Hat and Elastic Fuel Retrieval Augmented Generation for GenAI Use Cases
Red Hat and Elastic expand collaboration to equip enterprises with tools to support retrieval augmented generation (RAG) integrated on Red Hat OpenShift AI, with
As organizations face the twin demands of adding AI solutions into their operations while also minimizing risk, RAG takes center stage for integrating large language models (LLM) into business applications. RAG enables IT teams to combine the benefits of LLMs with private data stores to train models with targeted, private data without modifying the underlying model itself. Strong search retrieval is key, as prompting LLMs with the correct information using private repositories at scale can be expensive. Retrieval with role-based controls helps maintain protections around sensitive data while still using it for training general-purpose LLMs.
Red Hat OpenShift AI and
Red Hat supports Elasticsearch’s tools for RAG and generative AI (GenAI) application developers using the Elasticsearch Relevance EngineTM (ESRETM), which includes built-in vector search and transformer models, enabling developers to build next-generation search with proprietary enterprise data. ESRE enables organizations to create deployments that are optimized for security using their proprietary structured and unstructured data, and enables developers to build semantic search and RAG applications using a variety of third-party machine learning (ML) models, as well as ecosystem tooling from providers including Cohere, LangChain and LlamaIndex.
Red Hat OpenShift AI paired with
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.
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Supporting Quotes
“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.”
“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
Additional Resources
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About
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on our industry-leading operating system, and automate, secure, and manage complex environments. Award-winning support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.
About Elastic
Elastic (NYSE: ESTC), the
Forward-Looking Statements
Except for the historical information and discussions contained herein, statements contained in this press release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company’s current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially. Any forward-looking statement in this press release speaks only as of the date on which it is made. Except as required by law, the company assumes no obligation to update or revise any forward-looking statements.
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View source version on businesswire.com: https://www.businesswire.com/news/home/20240507812714/en/
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PR-team@elastic.co
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