🚀New Video: Beginner’s Guide to Metadata: Make Your RAG Agents Smarter

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In this video, I walk you through a no-code RAG (Retrieval-Augmented Generation) workflow I built using n8n. I’ll show you how I take YouTube video transcripts, store them in a Supabase vector database, and enrich them with metadata like video titles, URLs, and timestamps. This allows the RAG agent to tell me exactly where the retrieved answer came from — including which video, the link to that video, and even the moment in the video it pulled the data from.

I also break down what metadata is, why it matters, and how it dramatically improves retrieval accuracy and context. If you’re building any kind of AI assistant or agent, this will be a foundational concept to understand — and I make it as simple and practical as possible.

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