Reference
Glossary
Plain-language definitions for the AI, graph, and data terms you meet across GraphCanon - what each word means, and how we use it here.
Browse by category
AI & LLMs
11 termsThe model-layer vocabulary you meet across tool pages, comparisons, and stacks - what the words mean before you pick a tool.
- Models
- Prompting
- Retrieval
- Agents
Knowledge graph
8 termsHow GraphCanon models tools as a connected graph instead of a flat directory - the pieces that make a graph a graph.
- Entities
- Nodes
- Edges
- Provenance
Corpus & data pipeline
8 termsThe words for how GraphCanon collects, refreshes, and reasons over its data - starting with the one that probably sent you here.
- Corpus
- Ingest
- Enrich
- Freshness
Trust & signals
7 termsWhat the numbers, labels, and badges on a tool page actually mean - and what they deliberately do not.
- Maintenance
- Momentum
- Provenance
- Security scans
Discovery for agents
6 termsThe machine-readable surfaces that let AI agents read GraphCanon as data, not scraped HTML.
- llms.txt
- Markdown twins
- Structured data
- GEO