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: Useful for AI engineering because it grounds model adoption in concrete developer workflow, tooling, and product tradeoffs.