Why RAG Isn't Enough: Building RationaleVault for Cognitive Continuity

Short summary

RAG systems excel at retrieval but struggle with project continuity—they preserve information, not reasoning. RationaleVault treats memory as an evolving cognitive process, storing decisions and rationale using graph-based relationships. This enables AI systems to reconstruct full context and resume work like teammates would, moving beyond retrieval to state reconstruction.

• •RAG systems handle retrieval well but fail at maintaining long-term continuity and reasoning preservation
• •RationaleVault uses graph-based memory to store decisions, experiments, and rationale alongside outputs
• •Graph traversal enables AI systems to reconstruct project state and resume work contextually

Generated with AI, which can make mistakes.