flutter_hybrid_search 1.0.2

Offline hybrid search for Flutter: HNSW vector similarity, FTS5 full-text, typo-tolerant matching, and pluggable reranking — no cloud required.

1.0.2

Added

• HybridSearchEngine.isInitialized getter — check engine state without try/catch.
• HybridSearchEngine.entryCount getter — number of embeddings managed by the engine, available immediately after construction.
• HybridSearchConfig.copyWith() — create a tweaked copy without repeating every field.

Improved

• dispose() is now idempotent (safe to call multiple times) and guards against use-after-dispose: calling search() or initialize() after dispose() throws a clear StateError.
• Typo-tolerance _canDrop rewritten from O(n²) substring concatenation to O(n) two-pointer scan — eliminates temporary string allocations.
• SearchRanking RegExp instances are now compiled once and cached as static finals instead of being re-created on every call.

1.0.1

Improvements in documentation and metadata

1.0.0

Initial release.

Added

• HybridSearchEngine — offline hybrid search combining vector similarity, FTS5 full-text search, typo-tolerant matching, and heuristic reranking.
• Embedder — abstract interface for plugging in any embedding model (BERT, sentence-transformers, TF-IDF, etc.).
• SearchEntry — immutable Q&A entry with configurable column mapping.
• SearchResult — search match carrying entry, score, and method identifier.
• HybridSearchConfig — all engine parameters in one place (pool sizes, HNSW thresholds, database schema column names).
• SearchRanking — pure static utilities: FTS query building, typo tolerance, concise-match boost, perfect-match shortcutting.
• HeuristicReranker — rule-based reranker (FTS + typo + concise boosts, deduplication by question text).
• RerankerInterface — contract for custom reranker implementations.
• Float16Store — decoder for the compact Float16 binary embedding format produced by the companion Python training pipeline.