Context Engineering for RAG : The Four Typed Inputs Behind Every RAG Answer

Enterprise Document Intelligence [Vol.1 #7bis] – Tobi Lütke and Andrej Karpathy named the practice in 2025. For a single document, each brick emits typed pieces that converge on one LLM call. Corpus, conversation, and tool extensions are follow-up work

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Source: Towardsdatascience.com

Original source: https://towardsdatascience.com/context-engineering-for-rag-the-four-typed-inputs-behind-every-rag-answer/

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