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Data · towardsdatascience.com · Monday, 1 June 2026

Proxy-Pointer RAG Cuts LLM Costs by Skipping Boilerplate in Knowledge Graph Ingestion

The article introduces Proxy‑Pointer RAG, a structure‑aware retrieval‑augmented generation technique that predicts low‑value sections in dense legal documents and skips them, avoiding costly entity and relation extraction. Applied to large credit agreements, it reduces token usage and ingestion time while preserving graph quality.

Read the source: towardsdatascience.com ↗In the 1 June issue →