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

DevFeed: [Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs](<https://devfeed.tech/articles/glyph-a-multi-strategy-agentic-system-for-column-description-and-sensitivity-ontology-tagging-of-enterprise-data-catalogs-31490.md>)

Original publisher: [Read original article](<https://machinelearning.apple.com/research/glyph-column-description-tagging>)

Published: 2026-09-16T00:00:00Z

Content type: article

Language: en

Sources: [Apple Machine Learning Research](<https://devfeed.tech/sources/apple-machine-learning-research.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Code](<https://devfeed.tech/topics/code.md>), [Retrieval-Augmented Generation](<https://devfeed.tech/topics/retrieval-augmented-generation.md>), [Access Control](<https://devfeed.tech/topics/access-control.md>), [Graphs](<https://devfeed.tech/topics/graphs.md>), [GitHub](<https://devfeed.tech/topics/github.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [classification](<https://devfeed.tech/tags/classification.md>), [code](<https://devfeed.tech/tags/code.md>), [data](<https://devfeed.tech/tags/data.md>), [documentation](<https://devfeed.tech/tags/documentation.md>), [governance](<https://devfeed.tech/tags/governance.md>), [production](<https://devfeed.tech/tags/production.md>), [provenance](<https://devfeed.tech/tags/provenance.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [vector-database](<https://devfeed.tech/tags/vector-database.md>)

## AI overview

Glyph is a production system for generating column descriptions and assigning sensitivity-ontology labels in enterprise data catalogs. It uses cooperating LLM agents, source-code-grounded retrieval, parallel tagging strategies, vector-based metadata matching, and ranked-output fusion to support auditable cataloging.

## Source excerpt

Enterprise data lakes accumulate tables faster than human stewards can document or classify them, leaving columns with missing descriptions and unassigned governance labels. This documentation debt undermines data discovery, access control, and regulatory compliance. We present Glyph, a production system that frames two coupled problems, column description generation and column type annotation for data classification, as cooperating LLM agents orchestrated as stateful graphs. The Descriptor grounds generation in the pipeline source code that produces each column, retrieved on demand from an...