Enhancing workflow efficiency with Elasticsearch and Red Hat OpenShift AI

Red Hat Validated Patterns help users deploy applications in a hybrid cloud using a GitOps-based framework. In this first validated pattern, Enhancing Financial Analyst Efficiency Through RAG-Powered Search with Elasticsearch, Elasticsearch is the vector database at the core of the architecture. It enables hybrid search — combining lexical and semantic techniques — to ensure that only the most relevant, context-rich documents are passed to large language models (LLMs).

The collaboration between Elastic and Red Hat reflects a shared commitment to helping enterprises deploy generative AI efficiently and effectively. You can explore the jointly developed solution pattern — a production-ready RAG architecture using Elastic and OpenShift — now available on the Red Hat Ecosystem Catalog.

Learn more:

• Read: Get Set, Build: Red Hat OpenShift AI Applications powered by Elasticsearch vector database

• Visit Elasticsearch Labs for practitioner-focused content on the Elasticsearch vector database.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.