docs(04-06): complete VectorStore gap closure plan
Tasks completed: 2/2 - Implemented search_by_keyword method with FTS/LIKE hybrid search - Implemented store_embeddings method with transactional batch operations - Fixed VectorStore schema for sqlite-vec extension compatibility - Resolved all missing method calls from SemanticSearch.hybrid_search SUMMARY: .planning/phases/04-memory-context-management/04-06-SUMMARY.md Updated STATE.md to reflect Phase 4 completion
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| **Milestone** | v1.0 Core (Phases 1-5) |
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| **Current Phase** | 04: Memory & Context Management |
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| **Current Plan** | 4 of 4 in current phase |
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| **Current Plan** | Complete (Phase finished) |
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| **Overall Progress** | 4/15 phases complete |
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| **Progress Bar** | ███████░░░░ 30% |
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| **Model Profile** | Budget (haiku priority) |
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## Blockers & Concerns
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None — all Phase 3 deliverables complete and verified. Resource management with personality-driven communication, proactive scaling, hardware tier detection, and graceful degradation fully implemented.
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None — all Phase 4 deliverables complete and verified. Memory and context management with progressive compression, JSON archival, smart retention, personality learning, and complete VectorStore implementation fully functional.
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@@ -105,6 +105,6 @@ None — all Phase 3 deliverables complete and verified. Resource management wit
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## Session Continuity
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Last session: 2026-01-28T04:58:02Z
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Stopped at: Completed 04-03-PLAN.md
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Last session: 2026-01-28T18:29:27Z
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Stopped at: Completed 04-06-PLAN.md
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Resume file: None
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