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

June 30, 2026

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

The post Context Engineering for RAG : The Four Typed Inputs Behind Every RAG Answer appeared first on Towards Data Science.

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⟵ Q&A: What is agentic AI today, and what do we want it to be?
Build generative UI for AI agents on Amazon Bedrock AgentCore with the AG-UI protocol ⟶

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