The future of AI is open source! In this video, we explore how Llama Stack (https://github.com/meta-llama/llama-stack) —a powerful open-source AI ecosystem—brings together AI Agents, RAG (Retrieval-Augmented Generation), vector databases, and Model Context Protocol (MCP) tools to build scalable and intelligent applications.
Using OpenShift AI, we deploy Llama Stack and leverage open-source tools to create:
✅ AI Agents that think and know when to use retrieval augmented generation and other tools to accomplish tasks
✅ pgVector (PostgreSQL extension) for vector search
✅ Jupyter Notebook for AI experimentation
✅ Kubernetes-native AI workflows powered by OpenShift
🔥 Why Open Source AI?
Open-source AI tools provide transparency, flexibility, and innovation, enabling developers and enterprises to build AI solutions without vendor lock-in. If you're an AI Engineer, MLOps expert, or OpenShift user, this video is for you!
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