---
title: "Corpus"
type: "glossary-term"
category: "Corpus & data pipeline"
canonical_url: "https://www.graphcanon.com/glossary/corpus-and-data/corpus"
updated: "2026-07-09"
---

# Corpus

**A corpus is the full body of data a system works over. In GraphCanon it is every tool, repo, and piece of metadata currently in the graph.**

A **corpus** is the complete collection of documents or records a system is built on. When a signal is described as computed "across the corpus", it means it was derived from the whole set - not a single example.

The word shows up everywhere in AI tooling: models are trained on a corpus, search runs over a corpus, and pipelines keep a corpus fresh.

## In GraphCanon

GraphCanon's corpus is every published tool and its GitHub-backed metadata. Batch jobs (ingest, enrich, trust scans) operate over the corpus, and "/llms-full.txt" publishes it in one machine-readable file.

## See also

- [Full corpus (llms-full.txt)](/llms-full.txt)
- [How trust signals work](/trust-methodology)

## Related terms

- [Ingest](/glossary/corpus-and-data/ingest.md)
- [Enrich](/glossary/corpus-and-data/enrich.md)
- [Dataset](/glossary/corpus-and-data/dataset.md)

[Corpus & data pipeline](/glossary/corpus-and-data.md) · [All glossary terms](/glossary.md)

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon`](/api/graphcanon)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_