Ep 46 GitHub December 2, 2025 0:46 w/ Justy & Cody

GitHub Pguso/rag From scratch: Demystify RAG by building it from scratch. Local LLMs, no black boxes Real understanding of embeddings, vector search, retrieval, and context Augmented generation.

RAG from Scratch Demystify Retrieval-Augmented Generation (RAG) by building it yourself - step by step. No black boxes.

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Host A Welcome back to Exploring Next! Today we're looking at GitHub - pguso/rag-from-scratch: Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation..

Host B Yeah, this one caught our eye because RAG from Scratch Demystify Retrieval-Augmented Generation (RAG) by building it yourself - step by step.

Host A So the big idea is Just clear explanations, simple examples, and local code you fully understand.

Host B What stood out to me is This project follows the same philosophy as AI Agents from Scratch : make advanced AI concepts approachable for developers through minimal, well-explained, real code.

Host A If you're curious, give the original a read: https://github.com/pguso/rag-from-scratch.

Host B And let us know what you try next!