II.
Topic overview
Reference · livetopic:knowledge-freshness
Knowledge Freshness overview
Knowledge Freshness as a cross-cutting topic — detecting and managing stale knowledge in organizational knowledge systems. Covers time-based decay models (knowledge expires after N days without verification), change-detection triggers (source document modified, invalidate derived embeddings), freshness scoring in retrieval ranking, Guru-style verification workflows with assigned knowledge owners, and the distinction between stable knowledge (architectural principles) and volatile knowledge (API versions, team rosters) that requires different freshness policies.
Attributes
displayName
Knowledge Freshness
description
Knowledge Freshness as a cross-cutting topic — detecting and managing
stale knowledge in organizational knowledge systems. Covers time-based
decay models (knowledge expires after N days without verification),
change-detection triggers (source document modified, invalidate
derived embeddings), freshness scoring in retrieval ranking, Guru-style
verification workflows with assigned knowledge owners, and the
distinction between stable knowledge (architectural principles) and
volatile knowledge (API versions, team rosters) that requires
different freshness policies.
Outgoing edges
applies_to2
- domain:software-engineering·DomainSoftware Engineering
- specialization:ai-agents-conversational·Specialization
Incoming edges
contains1
- domain:knowledge-management·DomainKnowledge Management
related_topics4
- topic:company-brain·TopicCompany Brain
- topic:organizational-memory·TopicOrganizational Memory
- topic:memory-consolidation·TopicMemory Consolidation
- topic:auto-discovery·TopicAuto-Discovery