Proxy-Pointer RAG: Eliminating Wasteful Entity & Relations Extraction in Knowledge Graphs
Towards Data Science3896 字 (约 16 分钟)
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Proxy-Pointer RAG combined with Graphability Indexing significantly reduces LLM processing of low-value sections during KG construction, cutting extraction costs by >60% on real-world contracts (Emerson, AT&T, Texas Roadhouse) without compromising graph integrity—by leveraging document structural predictability to filter noise before LLM input.
入选理由：通过 Graphability Indexing 预判段落价值，可跳过 40–60% 的 boilerplate 段落，使 LLM 输入量减少 50%+
FeaturedArticle#Knowledge Graph#RAG#NER#LLM Optimization#Legal AI英文
