Mai/.planning/phases/04-memory-context-management/04-06-SUMMARY.md

phase, plan, subsystem, tags, requires, provides, affects, tech-stack, key-files, key-decisions, patterns-established, duration, completed

phase	plan	subsystem	tags	requires	provides	affects	tech-stack	key-files	key-decisions	patterns-established	duration	completed
04-memory-context-management	06	memory	sqlite-vec, vector-search, keyword-search, embeddings, storage	phase provides 04-memory-context-management Vector store infrastructure with sqlite-vec extension and metadata tables phase provides 04-01 Semantic search implementation that calls missing methods	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	04-memory-context-management semantic search functionality conversation memory indexing and retrieval	added patterns sqlite-vec extension, batch transaction patterns, error handling hybrid FTS/LIKE search, separated vector/metadata tables, transactional batch operations	created modified src/memory/storage/vector_store.py	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	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	19min	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

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Phase: 04-memory-context-management Completed: 2026-01-28