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RAG++ & Graph Kernel — Detailed Improvement Analysis

| Track | Target | Status | ETA | |-------|--------|--------|-----| | **Track 1: MiniMax Density Scoring** | kimi_memory.db (9.1K user turns) | 🟢 62% complete, 0 errors | ~1.5h | | **Track 2: RAG++ & Graph Kernel** | Search quality, entity enrichment | 🔴 Audited, issues documented | Needs work |

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| Track | Target | Status | ETA | |-------|--------|--------|-----| | **Track 1: MiniMax Density Scoring** | kimi_memory.db (9.1K user turns) | 🟢 62% complete, 0 errors | ~1.5h | | **Track 2: RAG++ & Graph Kernel** | Search quality, entity enrichment | 🔴 Audited, issues documented | Needs work | **Running process:** PID 56430, `density_scorer.py --role user --min-length 50 --parallel 4` | Tier | Count | % | Description | |------|-------|---|-------------| | CORE | 146 | 2.6% | Deep values, unique decisions, strong preferences | | ENRICHED | 559 | 9.8% | Substantive context, project decisions | | ACTIVE | 2,983 | 52.3% | Normal productive conversation | | PRUNED | 1,317 | 23.1% | Low-value, boilerplate, noise | | ERROR (parse) | 695 | 12.2% | MiniMax output parsing failures | **Projected final (at current ratios):** - CORE: ~235 turns - ENRICHED: ~900 turns - **High-value (CORE+ENRICHED): ~1,135 turns** for v9 expansion **Output:** `Desktop/cognitive-twin/output/density_scores_20260216_183513.jsonl` (5,792 lines, 1.2MB)

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