Red Hat and Elastic Fuel Retrieval Augmented Generation for GenAI Use Cases
Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI. This collaboration aims to equip enterprises with tools to support RAG solutions over time on a single, consistent platform. RAG plays a important role in integrating large language models (LLM) into business applications. By combining LLMs with private data stores, IT teams can train models with targeted, private data without modifying the underlying model. The collaboration between Red Hat and Elastic enables organizations to get the most out of RAG, providing a trusted machine learning operations platform and a robust hybrid search solution for scaling AI responses. This partnership demonstrates the positive impact AI can have on business applications and the broader market, leading to greater AI adoption and more user choice.
Collaboration between Red Hat and Elastic expands tools to support retrieval augmented generation (RAG) solutions for enterprises.
RAG integration on Red Hat OpenShift AI with Elasticsearch as the vector database solution enhances AI capabilities for businesses.
RAG enables IT teams to combine large language models with private data stores without modifying the underlying model, supporting targeted data training.
Red Hat OpenShift AI and Elasticsearch provide a trusted machine learning operations platform and a robust hybrid search solution, allowing organizations to scale and extract AI responses effectively.
Successful implementations of GenAI lead to greater AI adoption and more user choice in the AI market.
Organizations may face challenges in integrating AI solutions into their operations while minimizing risk, emphasizing the importance of tools like RAG.
Prompting large language models with correct private information at scale can be costly, highlighting the need for strong search retrieval.
Developers may encounter difficulties in building RAG and AI-enabled search applications without the necessary tools and infrastructure.
Red Hat and Elastic expand collaboration to equip enterprises with tools to support retrieval augmented generation (RAG) integrated on Red Hat OpenShift AI, with Elasticsearch as a preferred vector database solution
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 Elasticsearch can help organizations get the most out of RAG at both the MLOps infrastructure and application levels. Red Hat OpenShift AI provides a trusted machine learning operations (MLOps) platform to automate, build, tune, deploy and monitor models at scale. At the same time, Elasticsearch delivers a vector database and robust hybrid search solution for scaling and extracting AI responses, with advanced search and security features to make results more applicable to end users.
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 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.
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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.”
Additional Resources
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About Red Hat, Inc.
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 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
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.
Red Hat and OpenShift are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the
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View source version on businesswire.com: https://www.businesswire.com/news/home/20240507812714/en/
Marian Pierson, Red Hat
mpierson@redhat.com
Alexia Russell, Elastic
PR-team@elastic.co
Source: Red Hat, Inc.
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