II.
Topic JSON
Structured · livetopic:knowledge-freshness
Knowledge Freshness json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "topic:knowledge-freshness",
"_kind": "Topic",
"_file": "domain/topics/topics-knowledge-patterns.yaml",
"_cluster": "domain",
"attributes": {
"displayName": "Knowledge Freshness",
"description": "Knowledge Freshness as a cross-cutting topic — detecting and managing\nstale knowledge in organizational knowledge systems. Covers time-based\ndecay models (knowledge expires after N days without verification),\nchange-detection triggers (source document modified, invalidate\nderived embeddings), freshness scoring in retrieval ranking, Guru-style\nverification workflows with assigned knowledge owners, and the\ndistinction between stable knowledge (architectural principles) and\nvolatile knowledge (API versions, team rosters) that requires\ndifferent freshness policies.\n"
},
"outgoingEdges": [
{
"from": "topic:knowledge-freshness",
"to": "domain:software-engineering",
"kind": "applies_to"
},
{
"from": "topic:knowledge-freshness",
"to": "specialization:ai-agents-conversational",
"kind": "applies_to"
}
],
"incomingEdges": [
{
"from": "domain:knowledge-management",
"to": "topic:knowledge-freshness",
"kind": "contains"
},
{
"from": "topic:company-brain",
"to": "topic:knowledge-freshness",
"kind": "related_topics"
},
{
"from": "topic:organizational-memory",
"to": "topic:knowledge-freshness",
"kind": "related_topics"
},
{
"from": "topic:memory-consolidation",
"to": "topic:knowledge-freshness",
"kind": "related_topics"
},
{
"from": "topic:auto-discovery",
"to": "topic:knowledge-freshness",
"kind": "related_topics"
}
]
}