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Semantic compression beats raw long context Chunk-level summaries in RAG not only matched or outperformed long-context baselines but did so with ~20% of the tokens. Well-structured summarization improves retrieval precision, reduces noise, and can even shorten execution steps. This is useful to build more efficient, accurate long-horizon agents.
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