RAG vs Memory: Where Knowledge Should Live in Agentic AI
RAG vs Memory: Where Knowledge Should Live
The confusion
Teams often dump documentation into “memory”. That creates problems: docs change, memory doesn’t.
Rule of thumb
- RAG = external knowledge base (docs, policies, manuals)
- Memory = personalized context (user preferences, project state)
Why separation improves stability
Docs should be refreshed via retrieval and indexing. Personal memory should be curated and limited. Mixing them creates stale answers and privacy risks.
Practical architecture
Use two retrieval layers:
- Knowledge retrieval (RAG)
- Personal memory retrieval
Then combine them with clear priority rules (policy > docs > memory > guess).
