# Changelog
All notable changes to EdgeVec will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
### Added
- **`enableBQ()`** — WASM method to enable binary quantization after index creation
- Required for BQ search methods (`searchBQ`, `searchBQRescored`)
- Dimensions must be divisible by 8
- Automatically encodes existing vectors on enable
### Changed
- **WASM Bundle Optimized** — Applied wasm-opt `-Oz` with `--strip-debug` and `--strip-producers`
- **524 KB → 477 KB** (9.2% reduction, 47 KB saved)
- Now **well under 500 KB target**
- Gzipped: 217 KB (unchanged — gzip already compresses efficiently)
- Optimization flags: `--enable-bulk-memory --enable-nontrapping-float-to-int`
### Planned (v0.7.0)
- Soft-delete BQ tracking optimization
- Incremental persistence for large indices
- Vector compression enhancements
---
## [0.6.0] - 2025-12-22 — RFC-002: Binary Quantization + Metadata Storage
**Focus:** RFC-002 Implementation — Binary Quantization for 32x memory savings and integrated metadata storage.
### Added
#### Binary Quantization (RFC-002 Phase 2)
- **`searchBQ(query, k)`** — Fast binary search using Hamming distance
- 3-5x faster than F32 search
- 32x memory reduction (768D: 3072 bytes → 96 bytes)
- SIMD-optimized popcount (AVX2/SSE on x86, NEON on ARM)
- **`searchBQRescored(query, k, rescoreFactor)`** — High-recall hybrid search
- BQ candidate retrieval + F32 rescoring
- >0.90 recall@10 with rescoreFactor=15 (RFC-002 target achieved)
- Factor 5: ~95% recall, 2.5x faster
- Factor 10: ~98% recall, 2x faster
- **`HnswIndex::with_bq(config, storage)`** — Create BQ-enabled index
- **`insert_bq(vector, storage)`** — Insert with automatic BQ encoding
- **`has_bq()`** — Check if BQ is enabled
#### Metadata Storage (RFC-002 Phase 1)
- **`insertWithMetadata(vector, metadata)`** — Insert vectors with key-value metadata
- Supports: String, Integer, Float, Boolean, StringArray
- Automatic cleanup on soft-delete
- **`searchFiltered(query, filter, k)`** — Search with metadata filter expressions
- Comparison: `=`, `!=`, `>`, `>=`, `<`, `<=`
- Logical: `AND`, `OR`, `NOT`
- Array membership: `ANY ["value1", "value2"]`
- Grouping with parentheses
- **`getMetadata(id)`** — Retrieve metadata for a vector
- **`MetadataStore`** — Core Rust metadata storage with HashMap-based indexing
#### Memory Management (RFC-002 Phase 3)
- **`getMemoryPressure()`** — Monitor WASM heap usage
- Returns: level (normal/warning/critical), usedBytes, totalBytes, usagePercent
- **`setMemoryConfig(config)`** — Configure thresholds
- warning_threshold: default 70%
- critical_threshold: default 90%
- block_inserts_at_critical: default true
- **`canInsert()`** — Check if inserts allowed (respects memory pressure)
- **`getMemoryRecommendation()`** — Actionable memory management guidance
- **Allocation tracking** — Track memory usage per insert operation
#### WASM Bindings (RFC-002 Phase 3)
- Complete TypeScript type definitions for all new APIs
- **`EdgeVec`** class with full BQ + metadata + memory pressure support
- **`validateFilter()`** — Validate filter expression syntax
#### Integration Tests
- **`tests/hybrid_search.rs`** — 5 tests for BQ + filter search
- Basic hybrid search, complex filters, array ANY operator
- Fallback when BQ disabled, recall validation
- **`tests/bq_persistence.rs`** — 7 tests for BQ index persistence
- Save/load roundtrip, F32 search after load
- Metadata preservation, BQ state documentation
- **`tests/bq_recall_roundtrip.rs`** — 7 tests for BQ recall validation
- RFC-002 target validation (>0.90 recall)
- High-recall mode testing
#### Browser Demo
- **`wasm/examples/v060_demo.html`** — Interactive v0.6.0 showcase
- Cyberpunk-themed UI matching previous demos
- BQ vs F32 performance comparison with visual bars
- Metadata filter tags with preset expressions
- Memory pressure monitoring with live updates
- Recall metrics display
### Changed
- Filter syntax: `=` operator (not `==`), `ANY ["value"]` for array membership
- Persistence format: v0.4 with metadata section (Postcard serialization)
- BQ not persisted: regenerated from F32 vectors on load (expected behavior)
### Performance (RFC-002 Targets)
| BQ memory reduction | 32x | 8-32x | ✅ Achieved |
| SIMD popcount speedup | 6.9x vs scalar | >5x | ✅ Achieved |
| BQ search speedup | 3-5x vs F32 | 2-5x | ✅ Achieved |
| BQ+rescore recall@10 | 0.936 | >0.90 | ✅ Achieved |
| Filter evaluation | <1μs/vector | <10μs | ✅ Achieved |
### Migration Guide
#### From v0.5.x
v0.6.0 is backward compatible with v0.5.x snapshots:
```javascript
// v0.5.x snapshots load automatically
import { EdgeVec } from 'edgevec';
const index = new EdgeVec({ dimensions: 768 });
index.loadSnapshot(v05Snapshot); // Auto-migrates
// New features available immediately
index.insertWithMetadata(vector, { category: 'news' });
const results = index.searchFiltered(query, 'category = "news"', 10);
```
#### Enabling Binary Quantization
```javascript
const index = new EdgeVec({ dimensions: 768 });
// Insert vectors (BQ auto-enabled for dimension divisible by 8)
index.insertWithMetadata(vector, { category: 'tech' });
// Fast BQ search with rescoring (~95% recall, 3x faster)
const results = index.searchBQ(query, 10);
```
#### Filter Syntax (Important Changes)
```javascript
// Correct v0.6.0 syntax
index.searchFiltered(query, 'category = "news"', 10); // = not ==
index.searchFiltered(query, 'tags ANY ["featured"]', 10); // ANY for arrays
index.searchFiltered(query, 'score > 0.5 AND active = true', 10);
```
---
## [0.5.4] - 2025-12-20 — iOS Safari Compatibility
**Focus:** Mobile browser support — EdgeVec now works correctly on iOS Safari.
### Fixed
#### iOS Safari WASM Compatibility
- **`parse_filter_js is not a function` error** — Stale `wasm/pkg/` directory was shadowing the correct `pkg/` directory, causing old WASM bindings (without filter functions) to load
- Deleted stale `wasm/pkg/` directory
- Updated import paths to use only correct paths
- **Browser caching old WASM modules** — ES module caching was serving stale versions even after rebuilds
- Added cache-busting query parameter `?v=${Date.now()}` to all WASM imports
- Ensures fresh module loads after each rebuild
- **iOS Safari showing 0ms benchmark timings** — Safari limits `performance.now()` to 1ms resolution (Spectre mitigation)
- Changed from per-iteration timing to batch timing (50 iterations averaged)
- Now shows accurate sub-millisecond timings on iOS
- **NaN% filter overhead on iOS** — Division by zero when unfiltered time was 0ms
- Added null check: display "0.0%" instead of "NaN%"
### Added
- **Embedding Integration Guide** (`docs/guides/EMBEDDING_GUIDE.md`) — Complete guide for generating embeddings with EdgeVec
- Transformers.js browser-native examples (MiniLM, BGE, Nomic)
- API examples: OpenAI, Cohere, HuggingFace
- Web Worker pattern for non-blocking embedding
- Model caching and batching best practices
- Complete example applications (Semantic Notes, FAQ Bot, Image Search with CLIP)
- Troubleshooting guide and model comparison table
### Changed
- Filter Playground: Removed stale import paths, added cache buster
- Benchmark Dashboard: Batch timing for iOS precision, added cache buster
### Verified Platforms
- Desktop Chrome ✓
- Desktop Firefox ✓
- Desktop Safari ✓
- iOS Safari (iPhone) ✓
- iOS Safari (iPad) ✓
---
## [0.5.3] - 2025-12-19 — crates.io Publishing Fix
**Type:** Release engineering fix
### Fixed
- **crates.io 413 Payload Too Large** — Package was 28.0 MiB (11.0 MiB compressed), exceeding crates.io's 10 MiB limit
- Added `exclude` patterns to Cargo.toml to strip internal development files
- Excluded: `docs/`, `tests/`, `.claude/`, `.cursor/`, `.github/`, `benches/competitive/`, `scripts/`
- **New size: 1.7 MiB (358 KiB compressed)** — 96% reduction
### Changed
- Version sync: Cargo.toml and pkg/package.json both at 0.5.3
- Previous versions: crates.io was stuck at v0.4.0, npm was at v0.5.2
### Note
This release enables crates.io publishing that was blocked since v0.5.0.
---
## [0.5.2] - 2025-12-19 — npm TypeScript Compilation Fix
**Type:** Hotfix
### Fixed
- **npm package missing compiled JavaScript** — v0.5.0/v0.5.1 only included TypeScript source files (`.ts`), not compiled JavaScript (`.js`)
- Users with bundlers that don't handle TypeScript got import errors
- Added compiled `.js` and `.d.ts` files to pkg/
### Added
- Week 25 Day 1 metrics documentation
- Enterprise-grade hostile audit review
---
## [0.5.1] - 2025-12-19 — README Update
**Type:** Documentation patch
### Changed
- Updated `pkg/README.md` with v0.5.0 Filter API content for npm display
- Tagline: "The first WASM-native vector database"
- Added Filter API Quick Start example with `Filter.parse()`
- Updated version references from v0.4.0 to v0.5.0
### Note
No code changes. This release ensures npm displays the correct v0.5.0 documentation.
---
## [0.5.0] - 2025-12-19 — Filter API Release
**Focus:** Metadata filtering — The feature that transforms EdgeVec from a search library into a vector database.
### Added
#### Filter API
- **SQL-like filter expressions** — 15 operators for metadata filtering
- Comparison: `=`, `!=`, `>`, `<`, `>=`, `<=`
- Set: `IN`, `NOT IN`
- String: `CONTAINS`, `STARTS_WITH`, `ENDS_WITH`
- Null: `IS NULL`, `IS NOT NULL`
- Boolean: `AND`, `OR`, `NOT`
- **`Filter.parse()`** — Parse filter expressions with detailed error messages
- **`Filter.evaluate()`** — Evaluate filters against metadata objects
- **`FilterBuilder`** — TypeScript fluent API for type-safe filter construction
- **Strategy selection** — Automatic prefilter/postfilter/hybrid selection
#### Interactive Demos
- **Filter Playground** (`wasm/examples/filter-playground.html`)
- Real-time filter parsing with syntax highlighting
- AST visualization
- Example expressions gallery
- Dark/light theme toggle
- Keyboard shortcuts (Ctrl+Enter, Ctrl+/)
- **Demo Catalog** (`wasm/examples/index.html`)
- Professional landing page with all demos
- Mobile responsive design
- Filter integration across all demos
#### Documentation
- **`docs/api/FILTER_SYNTAX.md`** — Complete filter expression reference
- **`docs/api/DATABASE_OPERATIONS.md`** — CRUD operations guide
- **`docs/api/TYPESCRIPT_API.md`** — TypeScript API reference
- **`docs/COMPARISON.md`** — EdgeVec vs alternatives guide
- **`docs/design/ACCESSIBILITY_AUDIT.md`** — WCAG 2.1 AA compliance
#### Competitive Analysis
- **`docs/benchmarks/competitive_analysis_v2.md`** — Full methodology
- **`docs/benchmarks/w24_voy_comparison.md`** — EdgeVec vs voy (24x faster)
- **`docs/benchmarks/w24_hnswlib_comparison.md`** — EdgeVec vs hnswlib-node
- **`docs/benchmarks/w24_tier2_feature_matrix.md`** — Feature comparison
### Changed
- **README.md** — Repositioned as "vector database" with feature matrix
- **`pkg/package.json`** — 16 keywords for npm discoverability
- **All demos** — Added filter capabilities and mobile responsiveness
### Fixed
- **UTF-8 panic** — Filter parser now handles multi-byte UTF-8 correctly (`f75a4c0`)
- **XSS vulnerabilities** — Added `escapeHtml()` to all demos (`359cd7d`, `d60770c`)
### Security
- All user input in demos escaped via `escapeHtml()`
- Filter parser fuzz tested for 24+ hours (14.4B executions, 0 crashes)
### Performance
| Search P50 (10k) | 0.20 ms | <1 ms |
| Bundle (gzip) | 262 KB | <500 KB |
| Fuzz testing | 24h+ | 0 crashes |
---
## [0.4.1] - 2025-12-17 — Hotfix: NPM Package Fix
**Type:** HOTFIX (Critical Bug Fix)
### Fixed
- **NPM package missing `snippets` directory** — Build failures with Vite, webpack, and other bundlers due to missing `snippets` directory in published npm package. The `package.json` `files` array now correctly includes `"snippets"`. ([GitHub Issue #1](https://github.com/matte1782/edgevec/issues/1))
### Upgrade
```bash
npm install edgevec@0.4.1
```
### Affected Versions
| 0.4.0 | ❌ BROKEN (do not use with bundlers) |
| 0.4.1 | ✅ FIXED |
---
## [0.4.0] - 2025-12-20 — Documentation & Quality Sprint
**Focus:** Production readiness — comprehensive documentation, P99 tracking, and quality hardening.
### Added
#### User Documentation
- **`docs/TUTORIAL.md`** — Complete getting started guide
- Step-by-step installation instructions
- First index creation walkthrough
- Browser and Node.js examples
- Persistence tutorial
- **`docs/PERFORMANCE_TUNING.md`** — HNSW parameter optimization guide
- M, efConstruction, ef parameter explanations
- Tuning recommendations for different use cases
- Memory vs. recall tradeoff guidance
- Quantization configuration
- **`docs/TROUBLESHOOTING.md`** — Debugging guide
- Top 10 common errors and solutions
- WASM initialization issues
- Dimension mismatch debugging
- Search returning empty results
- **`docs/INTEGRATION_GUIDE.md`** — Third-party integration guide
- transformers.js integration
- TensorFlow.js Universal Sentence Encoder
- OpenAI embeddings API
- Cohere embeddings
#### Benchmark Dashboard
- **`wasm/examples/benchmark-dashboard.html`** — Interactive visualization
- Real-time performance charts (Chart.js)
- EdgeVec vs hnswlib-node vs voy comparison
- Search latency, insert latency, memory charts
- Dark/light theme toggle
- **`docs/benchmarks/PERFORMANCE_BASELINES.md`** — Baseline documentation
- Official baseline values for regression detection
- Target metrics for different scales
- CI threshold configuration
#### Quality Infrastructure
- **Chaos Testing** (`tests/chaos_hnsw.rs`)
- 15 edge case tests (11 required + 4 bonus)
- Empty index, single vector, all deleted
- Zero vector, max dimensions (4096)
- Duplicate vectors, delete/reinsert
- Extreme values, rapid cycles
- Compaction stress, recall accuracy
- **Load Testing** (`tests/load_test.rs`)
- 100k vector insertion stress test
- Sustained search load (60 seconds)
- Mixed workload (insert + search + delete)
- High tombstone ratio validation
- Memory stability testing
- Batch insert performance
- **P99 Latency Tracking** (`benches/p99_bench.rs`)
- P50/P99/P999 percentile reporting
- 10k index latency benchmark
- Tombstone impact benchmark
- Scaling benchmark (1k to 25k)
- **CI Regression Detection** (`.github/workflows/regression.yml`)
- Automatic P99 benchmark on PRs
- 10% regression threshold enforcement
- Performance summary in PR comments
- Artifact upload for historical tracking
#### Release Documentation
- **`CONTRIBUTING.md`** — Contribution guidelines
- Code of Conduct reference
- PR process and requirements
- Development setup instructions
- Commit message conventions
- **`docs/RELEASE_CHECKLIST_v0.4.md`** — Release verification
- 25+ verification items
- Pre-release, release, post-release steps
- Rollback procedures
- **`docs/MIGRATION.md`** — Migration from competitors
- hnswlib migration guide
- FAISS migration guide
- Pinecone migration guide
- General migration tips
### Changed
- Version bumped from 0.3.0 to 0.4.0
- Updated README.md with v0.4.0 features
- CI pipeline enhanced with P99 tracking
### Documentation
- Week 16-18 work reconciled with gate files
- ROADMAP.md updated to reflect v0.4.0 completion
- All pending gates (16, 17, 18) documented
---
## [0.3.0] - 2025-12-15 — Soft Delete Release
**Focus:** RFC-001 Soft Delete implementation — non-destructive vector deletion with compaction.
### Added
#### Soft Delete API (RFC-001)
- **`soft_delete(VectorId)`** — Mark vector as deleted in O(1) time
- Tombstone-based deletion (vector remains in index but excluded from search)
- Idempotent: returns `false` if already deleted
- Error on invalid vector ID
- **`is_deleted(VectorId)`** — Check if vector is deleted
- Returns `true` for tombstoned vectors
- Error on invalid vector ID
- **`deleted_count()`** — Count of tombstoned vectors
- **`live_count()`** — Count of active (non-deleted) vectors
- **`tombstone_ratio()`** — Ratio of deleted to total vectors (0.0 to 1.0)
#### Compaction API
- **`compact()`** — Rebuild index removing all tombstones
- Returns `CompactionResult` with statistics
- Creates new index with only live vectors
- Preserves vector IDs during rebuild
- Warning: blocking operation for large indices
- **`needs_compaction()`** — Check if tombstone ratio exceeds threshold
- **`compaction_warning()`** — Get warning message if compaction recommended
- **`compaction_threshold()`** — Get current threshold (default: 0.3 / 30%)
- **`set_compaction_threshold(ratio)`** — Configure threshold (0.01 to 0.99)
- **`CompactionResult`** struct:
- `tombstones_removed: u32` — Number of deleted vectors removed
- `new_size: u32` — Index size after compaction
- `duration_ms: f64` — Time taken in milliseconds
#### Batch Delete API
- **`batch_delete(ids)`** — Delete multiple vectors efficiently
- **WASM bindings:** `softDeleteBatch()`, `softDeleteBatchCompat()`
#### WASM Bindings (v0.3.0)
- **`softDelete(vectorId)`** — JavaScript soft delete
- **`isDeleted(vectorId)`** — Check deletion status
- **`deletedCount()` / `liveCount()`** — Statistics methods
- **`tombstoneRatio()`** — Get tombstone ratio
- **`needsCompaction()`** — Check compaction recommendation
- **`compactionWarning()`** — Get warning string or null
- **`compact()`** — Execute compaction, returns `WasmCompactionResult`
- **`compactionThreshold()` / `setCompactionThreshold()`** — Threshold management
#### Persistence Format v0.3
- `deleted_count` field in snapshot header (offset 60-63)
- `deleted` field per `HnswNode` (1 byte, was padding — zero memory overhead)
- Automatic migration from v0.2 snapshots on load
- VERSION_MINOR bumped from 2 to 3
#### Browser Examples
- **`wasm/examples/soft_delete.html`** — Interactive cyberpunk-themed demo
- Particle effects for visual feedback
- Real-time statistics dashboard
- Vector grid visualization (live vs deleted)
- Warning banner for compaction recommendation
- Activity log with color-coded entries
- **`wasm/examples/soft_delete.js`** — Reusable JavaScript module
- `SoftDeleteDemo` class with full API
- Event system for insert/delete/compact/search
- Benchmark functionality
- Accessibility: focus indicators, ARIA labels, keyboard navigation
#### TypeScript Support
- Updated `pkg/edgevec.d.ts` with soft delete types
- `WasmCompactionResult` interface
- Full JSDoc documentation
### Changed
- Search now automatically excludes tombstoned vectors
- `HnswNode.pad` renamed to `HnswNode.deleted` (repurposed padding byte)
- Internal `adjusted_k()` calculation compensates for tombstones during search
- Snapshot version bumped to v0.3 (reads v0.2, writes v0.3)
- License changed to dual MIT OR Apache-2.0
### Fixed
- Memory leak prevention in browser demo particle system (MAX_PARTICLES cap)
- Silent error swallowing replaced with proper logging
### Migration Notes
**From v0.2.x to v0.3.0:**
1. v0.2 snapshots are automatically migrated to v0.3 on load
2. v0.3 snapshots **cannot** be read by v0.2.x (forward-incompatible)
3. Always backup your index files before upgrading
4. New soft delete methods are additive — existing code continues to work
**Breaking Changes:** None for existing API users.
---
## [0.2.1] - 2025-12-14 — Safety Hardening Release
**Focus:** Community feedback response — UB elimination and competitive positioning.
### Security
- **Fixed potential undefined behavior in persistence layer** — Replaced unsafe pointer casts with alignment-verified `bytemuck` operations. All `#[allow(clippy::cast_ptr_alignment)]` suppressions removed. Runtime alignment checks now active via `try_cast_slice`. Thanks to Reddit community feedback for identifying this issue. (W13.2)
### Added
- **Competitive Benchmark Suite** — New benchmark infrastructure for comparing EdgeVec against WASM vector libraries (hnswlib-wasm, voy, usearch-wasm, vectra). See `docs/benchmarks/competitive_analysis.md`. (W13.3)
- **Alignment Safety Tests** — 13 new tests validating Pod/Zeroable compliance and alignment safety. (W13.2)
- **Batch Insert API** (`BatchInsertable` trait)
- Single API call for bulk vector insertion
- Progress callback support at ~10% intervals (<1% overhead)
- Best-effort semantics (partial success on non-fatal errors)
- `BatchError` type with 5 error variants
- Example: `examples/batch_insert.rs`
- Benchmarks: `benches/batch_vs_sequential.rs`
---
## [0.2.0] - 2025-12-12 — Initial Alpha Release
**Focus:** First public alpha — core HNSW engine with WASM support.
### Added
#### Core Engine
- **HNSW Indexing Engine**
- O(log n) approximate nearest neighbor search
- Configurable `m` (connections per node, default: 16)
- Configurable `ef_construction` (build quality, default: 200)
- Layer-based graph structure with probabilistic level assignment
- Efficient neighbor selection with heuristic pruning
- **Distance Metrics**
- L2 (Euclidean distance) — default metric
- Cosine similarity — normalized vectors
- Dot product (inner product) — unnormalized similarity
- **Scalar Quantization (SQ8)**
- 8-bit scalar quantization for 3.6x memory reduction
- Configurable min/max range for precision tuning
- AVX2 SIMD-optimized distance calculations
- Maintains competitive recall at k=10
#### Persistence Layer
- **Write-Ahead Log (WAL)**
- Append-only log for crash recovery
- Automatic replay on startup
- Configurable sync interval
- **Atomic Snapshots**
- Safe background saves without blocking reads
- Magic number + version + checksum validation
- Compatible format between native and WASM builds
- **Storage Backends**
- `FileBackend` — Native file system persistence
- `IndexedDbBackend` — Browser IndexedDB storage
- `MemoryBackend` — In-memory for testing
#### WASM Support
- **First-class WebAssembly support** via `wasm-pack`
- **Browser-native** ES module exports
- **Node.js compatibility** via CommonJS wrapper
- **IndexedDB integration** for browser persistence
- **148 KB gzipped bundle** (70% under 500KB target)
#### TypeScript Wrapper
- `EdgeVecClient` class with auto WASM initialization
- `EdgeVecConfigBuilder` for fluent configuration
- Promise-based async API for persistence operations
- Full TypeScript type definitions (`.d.ts`)
- Comprehensive JSDoc documentation
### Performance
Benchmarked on AMD Ryzen 7 5700U, 16GB RAM, Windows 11, Rust 1.94.0-nightly.
Criterion 0.5.x with 10 samples per configuration. `-C target-cpu=native` enabled.
#### Search Latency (768-dimensional vectors, k=10)
| 10k vectors | 203 µs | **88 µs** | <1 ms | 11x under target |
| 50k vectors | 480 µs | **167 µs** | <1 ms | 6x under target |
| 100k vectors | 572 µs | **329 µs** | <1 ms | 3x under target |
#### Memory Efficiency
| Float32 | 3,176 bytes | 303 MB | 3.03 GB | N/A |
| Quantized (SQ8) | 872 bytes | 83 MB | **832 MB** | <1 GB (17% under) |
#### Bundle Size
| `@edgevec/core` | **213 KB** | <500 KB | 57% under target |
---
## [0.1.0] - 2025-12-05 — Genesis Release (Internal)
**Focus:** Initial architecture validation and core infrastructure.
### Added
- Project structure and Cargo configuration
- HNSW algorithm prototype
- Distance metric implementations
- Basic persistence framework
- Architecture documentation (ARCHITECTURE.md, DATA_LAYOUT.md)
- Testing infrastructure (proptest, criterion)
- CI/CD pipeline
### Notes
This version was internal only, not published to crates.io or npm.
---
## Version Comparison
| 0.6.0 | 2025-12-22 | **RFC-002:** Binary Quantization (32x memory), Metadata Storage, Memory Pressure |
| 0.5.4 | 2025-12-20 | iOS Safari compatibility fixes |
| 0.5.3 | 2025-12-19 | **FIX:** crates.io publishing (package size reduction) |
| 0.5.2 | 2025-12-19 | **FIX:** npm TypeScript compilation |
| 0.5.1 | 2025-12-19 | README update for npm display |
| 0.5.0 | 2025-12-19 | **Filter API:** 15 SQL-like operators, Filter Playground |
| 0.4.1 | 2025-12-17 | **HOTFIX:** NPM package snippets fix |
| 0.4.0 | 2025-12-16 | Documentation sprint, P99 tracking, chaos testing |
| 0.3.0 | 2025-12-15 | Soft delete API, compaction, dual-license |
| 0.2.1 | 2025-12-14 | Safety hardening, batch insert |
| 0.2.0 | 2025-12-12 | Initial alpha release |
| 0.1.0 | 2025-12-05 | Internal genesis release |
---
## Links
- [GitHub Repository](https://github.com/matte1782/edgevec)
- [Documentation](docs/)
- [Performance Guide](docs/PERFORMANCE_GUIDE.md)
- [Tutorial](docs/TUTORIAL.md)
- [API Reference](docs/API_REFERENCE.md)
---
[Unreleased]: https://github.com/matte1782/edgevec/compare/v0.6.0...HEAD
[0.6.0]: https://github.com/matte1782/edgevec/compare/v0.5.4...v0.6.0
[0.5.4]: https://github.com/matte1782/edgevec/compare/v0.5.3...v0.5.4
[0.5.3]: https://github.com/matte1782/edgevec/compare/v0.5.2...v0.5.3
[0.5.2]: https://github.com/matte1782/edgevec/compare/v0.5.1...v0.5.2
[0.5.1]: https://github.com/matte1782/edgevec/compare/v0.5.0...v0.5.1
[0.5.0]: https://github.com/matte1782/edgevec/compare/v0.4.1...v0.5.0
[0.4.1]: https://github.com/matte1782/edgevec/compare/v0.4.0...v0.4.1
[0.4.0]: https://github.com/matte1782/edgevec/compare/v0.3.0...v0.4.0
[0.3.0]: https://github.com/matte1782/edgevec/compare/v0.2.1...v0.3.0
[0.2.1]: https://github.com/matte1782/edgevec/compare/v0.2.0...v0.2.1
[0.2.0]: https://github.com/matte1782/edgevec/compare/v0.1.0...v0.2.0
[0.1.0]: https://github.com/matte1782/edgevec/releases/tag/v0.1.0