dafit
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- Endgame-Vision.md: hardware timeline sync (RTX 6000 Dec 31), GPU naming standardized to PRO 6000 Blackwell, Memory-Gradient.md rename - nyx-metamorphosis/README.md: v6.0 refs, clean index, archived projects marked - nyx-metamorphosis/Nyx_Traits.md v2.0: aligned to v6.0, LoRA mapping, mythological children preserved - nyx-metamorphosis/RAG-Worker-Architecture.md: marked ARCHIVED, points to Memory-Gradient - nyx-metamorphosis/nyx-orchestrator.md: moved to deep archive 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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RAG Worker Architecture
Status: 📦 ARCHIVED Superseded by: Memory-Gradient.md
Historical Context
This was a pointer file to /home/dafit/nimmerverse/rag-worker/ which contained the Phase 2a RAG accumulation architecture.
What it was:
- ChromaDB vector storage for decision trails
- Multi-organ decision pattern storage
- Substrate for LoRA training data
Why archived:
- Architecture evolved from multi-organ (v4.2) to single-model + LoRA (v6.0)
- RAG approach superseded by Memory-Gradient internalization
- Fresh implementation will follow new architecture
Future Direction
The Memory-Gradient approach in v6.0 handles knowledge differently:
- RAG as temporary scaffold, not permanent architecture
- Internalization into LoRA weights over time
- Metacognitive routing decides RAG vs direct inference
See: Memory-Gradient.md for current approach.
Archived: 2025-12-29 Original: 2025-11-10 Reason: Paradigm shift from multi-organ RAG to single-model Memory-Gradient