See the future of enterprise AI in action! Join Phillip Hayes, Senior AI Platform Architect at Red Hat, for a quick demo showcasing how Model Context Protocol (MCP) and Llama Stack power an intelligent AI chatbot on Red Hat® OpenShift® AI, transforming how applications interact with your critical business data.
Ever wondered how to make Large Language Models (LLMs) securely and effectively use tools to interact with your internal systems and databases? Watch as Phillip demonstrates a practical order management use case. You’ll see an LLM, guided by MCP and orchestrated with Llama Stack, utilize tools (like ‘find order’ and ‘update order’) to:
✅ Query an order database in real-time through natural language.
✅ Accurately check order status and understand its contents.
✅ Take direct actions, such as modifying or canceling an order, via the chat interface.
This technical walkthrough highlights:
● The crucial role of MCP in enabling LLMs to discover and use tools, securely connecting to live enterprise data and APIs.
● How Llama Stack simplifies the development and deployment of these tool-augmented, conversational AI applications.
● A practical demonstration of integrating and running these powerful AI components on the robust Red Hat OpenShift AI platform.
By leveraging MCP and Llama Stack on OpenShift AI, you can unlock powerful new ways for your AI to understand context and take meaningful action within your existing enterprise landscape—key to building the next generation of intuitive and efficient business processes.
Next Steps:
🚀 Dive deeper into Red Hat OpenShift AI → https://www.redhat.com/en/products/ai/openshift-ai
💡 Explore OpenShift AI with the no-cost developer sandbox → https://developers.redhat.com/products/red-hat-openshift-ai/overview
📖 Learn more about Model Context Protocol → https://www.redhat.com/en/blog/model-context-protocol-discover-missing-link-ai-integration
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