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Retrieval-Augmented Generation

45 summarised stories about Retrieval-Augmented Generation, each linking back to the original source. Browse all topics →

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Wednesday, 16 September 2026

Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs

Apple Machine Learning Research 1 month ago 28

Glyph was introduced to automatically generate enterprise column descriptions and assign governed sensitivity ontology tags using cooperating, stateful LLM agents. The system fine-tuned a 6-layer MiniLM metadata encoder and improved same-tag retrieval NDCG@10 from 0.55 to 0.92 and MAP@100 from 0.19 to 0.90 versus the stock encoder. As a result, column documentation and classification become auditable and operable as a production service with provenance and graceful degradation.

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