Knowledge Graph and Graph-Augmented Retrieval
Graphs represent entities and relationships such as product→dependency→platform. They help with relationship-heavy and multi-hop questions. Relations extracted by models need validation and provenance. Graph traversal must obey access controls, and edges may need validity periods. Graph RAG adds modeling and maintenance cost; compare it against hybrid retrieval first.
Implementation example
{
"subject":"Service A",
"predicate":"depends_on",
"object":"Runtime B",
"sourceId":"architecture-doc-12",
"reviewStatus":"verified"
}💡 Store provenance and review state for extracted relations.
Key Takeaways
- Inspect the relevant pipeline stage instead of guessing.
- Preserve source provenance, versions, and access scope.
- Measure quality on representative queries.
Knowledge Check
When is graph retrieval especially useful?