From 26543d04022b56861b4587bd4ef196fdffb81371 Mon Sep 17 00:00:00 2001 From: Mai Development Date: Wed, 28 Jan 2026 13:33:13 -0500 Subject: [PATCH] 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 --- .planning/STATE.md | 8 +- .../04-06-SUMMARY.md | 109 ++++++++++++++++++ 2 files changed, 113 insertions(+), 4 deletions(-) create mode 100644 .planning/phases/04-memory-context-management/04-06-SUMMARY.md diff --git a/.planning/STATE.md b/.planning/STATE.md index 934e338..d69c257 100644 --- a/.planning/STATE.md +++ b/.planning/STATE.md @@ -11,7 +11,7 @@ |--------|-------| | **Milestone** | v1.0 Core (Phases 1-5) | | **Current Phase** | 04: Memory & Context Management | -| **Current Plan** | 4 of 4 in current phase | +| **Current Plan** | Complete (Phase finished) | | **Overall Progress** | 4/15 phases complete | | **Progress Bar** | ███████░░░░ 30% | | **Model Profile** | Budget (haiku priority) | @@ -86,7 +86,7 @@ Status: Phase 4 complete - 4/4 plans finished. ## Blockers & Concerns -None — all Phase 3 deliverables complete and verified. Resource management with personality-driven communication, proactive scaling, hardware tier detection, and graceful degradation fully implemented. +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. --- @@ -105,6 +105,6 @@ None — all Phase 3 deliverables complete and verified. Resource management wit ## Session Continuity -Last session: 2026-01-28T04:58:02Z -Stopped at: Completed 04-03-PLAN.md +Last session: 2026-01-28T18:29:27Z +Stopped at: Completed 04-06-PLAN.md Resume file: None diff --git a/.planning/phases/04-memory-context-management/04-06-SUMMARY.md b/.planning/phases/04-memory-context-management/04-06-SUMMARY.md new file mode 100644 index 0000000..5a084a4 --- /dev/null +++ b/.planning/phases/04-memory-context-management/04-06-SUMMARY.md @@ -0,0 +1,109 @@ +--- +phase: 04-memory-context-management +plan: 06 +subsystem: memory +tags: sqlite-vec, vector-search, keyword-search, embeddings, storage + +# Dependency graph +requires: + - phase: 04-memory-context-management + provides: Vector store infrastructure with sqlite-vec extension and metadata tables + - phase: 04-01 + provides: Semantic search implementation that calls missing methods +provides: + - Complete VectorStore implementation with search_by_keyword and store_embeddings methods + - Keyword-based search functionality with FTS and LIKE fallback support + - Batch embedding storage with transactional safety and error handling + - Vector store compatibility with SemanticSearch.hybrid_search operations +affects: + - 04-memory-context-management + - semantic search functionality + - conversation memory indexing and retrieval + +# Tech tracking +tech-stack: + added: sqlite-vec extension, batch transaction patterns, error handling + patterns: hybrid FTS/LIKE search, separated vector/metadata tables, transactional batch operations + +key-files: + created: [] + modified: src/memory/storage/vector_store.py + +key-decisions: + - "Separated vector and metadata tables for sqlite-vec compatibility" + - "Implemented hybrid FTS/LIKE search for keyword queries" + - "Added transactional batch operations for embedding storage" + - "Fixed Row object handling throughout search methods" + +patterns-established: + - "Pattern 1: Hybrid search with FTS priority and LIKE fallback" + - "Pattern 2: Transactional batch operations with partial failure handling" + - "Pattern 3: Schema separation for vector extension compatibility" + +# Metrics +duration: 19min +completed: 2026-01-28 +--- + +# Phase 4 Plan 6: VectorStore Gap Closure Summary + +**Implemented missing search_by_keyword and store_embeddings methods in VectorStore to enable full semantic search functionality** + +## Performance + +- **Duration:** 19 min +- **Started:** 2026-01-28T18:10:03Z +- **Completed:** 2026-01-28T18:29:27Z +- **Tasks:** 2 +- **Files modified:** 1 + +## Accomplishments +- Implemented search_by_keyword method with FTS and LIKE fallback support +- Implemented store_embeddings method for batch embedding storage with transactions +- Fixed VectorStore schema to work with sqlite-vec extension requirements +- Resolved all missing method calls from SemanticSearch.hybrid_search +- Added comprehensive error handling and validation for both methods + +## Task Commits + +Each task was committed atomically: + +1. **Task 1: Implement search_by_keyword method in VectorStore** - `0bf6266` (feat) +2. **Task 2: Implement store_embeddings method in VectorStore** - `cc24b54` (feat) + +**Plan metadata:** None created (methods implemented in same file) + +## Files Created/Modified +- `src/memory/storage/vector_store.py` - Added search_by_keyword and store_embeddings methods, updated schema for sqlite-vec compatibility + +## Decisions Made +- Separated vector and metadata tables to work with sqlite-vec extension constraints +- Implemented hybrid FTS/LIKE search to provide robust keyword search capabilities +- Added transactional batch operations with partial failure handling for reliability +- Fixed Row object handling throughout all search methods for consistency + +## Deviations from Plan + +None - plan executed exactly as written. + +## Issues Encountered +- **sqlite-vec extension loading:** Initial attempts to load extension failed due to path issues + - **Resolution:** Used sqlite_vec.loadable_path() to get correct extension path +- **Schema compatibility:** Original vec0 virtual table definition included unsupported column types + - **Resolution:** Separated vector storage from metadata tables for proper sqlite-vec compatibility +- **Row object handling:** Mixed tuple/dict row handling caused runtime errors + - **Resolution:** Standardized on dictionary-style access for sqlite3.Row objects throughout all methods + +## User Setup Required + +None - no external service configuration required. + +## Next Phase Readiness +- VectorStore now has all required methods for SemanticSearch operations +- Hybrid search combining keyword and vector similarity is fully functional +- Memory system ready for conversation indexing and retrieval operations +- All anti-patterns related to missing method calls are resolved + +--- +*Phase: 04-memory-context-management* +*Completed: 2026-01-28* \ No newline at end of file