Red Hat OpenShift AI and Redis offer a powerful combination for organizations looking to use artificial intelligence effectively. By providing a flexible gen AI development environment and a high-performance data platform, these technologies empower data scientists and machine learning engineers to build innovative AI solutions that create real business value. This is achieved through the deployment of Redis as a vector database and semantic cache, enabling efficient retrieval of LLM responses based on the meaning of the query, reducing costs and improving scalability for AI-powered applications. Additionally, OpenShift AI provides an environment for data scientists to use different tools, including embedding models, third-party frameworks like LangChain or LlamaIndex, and multiple LLMs to implement gen AI use cases at scale, while Redis delivers sub-second latency that gen AI use cases need. This enables the creation of more engaging and context-aware chatbots, personalized customer experiences, and improved ability to handle complex conversations. The combination of OpenShift AI and Redis also simplifies deployment and management of a comprehensive set of AI/ML tools, providing organizations with an efficient way to deploy and manage their AI infrastructure.