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Data Teams Build Production-Grade RAG Architecture Locally
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This article presents techniques and best practices for grounding large language models with Retrieval-Augmented Generation (RAG), and builds a complete production‑grade RAG architecture using free, open-source tools. Using PDF versions of the full Kubernetes documentation as the example knowledge base, it walks through key design decisions and provides a runnable GitHub implementation that runs locally for end‑to‑end experimentation.
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