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Retrieval · Agents

A Survey of Context Engineering for LLMs

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A Survey of Context Engineering for LLMs
The curator’s take

This survey defines Context Engineering as a formal discipline for optimizing information given to LLMs, outlining its core components, retrieval, processing, and management, and their integration in systems like RAG, memory, and multi-agent frameworks. It identifies a key gap: LLMs can understand complex input but struggle to generate equally complex long-form output, pointing to a major direction for future research.

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