AI Engineer · April 10, 2026

OpenRAG: An open-source stack for RAG — Phil Nash

OpenRAG: An open-source stack for RAG — Phil Nash video thumbnail
Why it matters

AI Engineer session on OpenRAG: An open-source stack for RAG, presented by Phil Nash. It adds practical context for how teams are building and operating AI systems in production.

My takeaway: OpenRAG: An open-source stack for RAG — Phil Nash is an enterprise-adoption signal. The practical read is to watch how deployment scale, data boundaries, operational ownership, and platform controls change as AI moves out of experiments.