Phase 1 of the 0.1.0 release prep:
- LICENSE (MIT) plus license fields in Cargo.toml, package.json, and bundle config
- tauri.conf.json: publisher/copyright/descriptions/homepage so the NSIS
installer no longer derives 'jezz' from the identifier as manufacturer
- version: null in tauri.conf.json — Cargo.toml is now the version source
- bundle.targets narrowed from 'all' to nsis (updater-friendly, faster builds)
- track pnpm-workspace.yaml (esbuild build-script approval, needed by CI)
Adds a full discovery and organisation layer to the gallery.
## AI Tagger
- WD tagger (ONNX via ort) with DirectML/CPU acceleration
- Per-image and per-folder tag queuing; configurable batch size and
confidence threshold; model downloaded on first use via ureq/zip
- Tags stored with source ('ai' | 'user'); user tags are never
overwritten by AI; AI tags protected from accidental promotion
- Tagger pause/resume per folder; in-flight batches discarded cleanly
on pause or cancellation without leaving jobs stuck in processing
## Semantic & Tag Search
- CLIP text-query embedding via candle (HuggingFace hub model)
- Progressive candidate doubling with filter post-processing so
folder/rating/media-kind filters do not silently under-return results
- Tag search with DB-backed pagination (offset + COUNT total)
- Filename search unchanged; prefix syntax: s:, t:, f: in search bar
## Similarity Search
- HNSW in-memory index (hnsw_rs) with monotonic embedding_revision
counter for cache invalidation; build_index retries if a concurrent
write advances the revision during construction
- Folder-scoped similar search uses brute-force cosine scan (no k limit)
- Region-based similarity: crop an arbitrary rectangle in the lightbox,
embed it with CLIP, find the nearest images globally or within folder
- Pagination for both similar and region results; scope toggle
(all media / current folder) re-runs the query without reopening image
## Duplicate Finder
- Three-phase detection: stat (size) → sample hash (4×16 KB windows)
→ full-file hash (xxh3, large files only) to eliminate false positives
- Filesystem-first deletion: only removes DB rows for files successfully
deleted from disk; failed files remain visible for retry
- Persisted scan cache (SQLite) with invalidation on reindex and deletion;
both global and per-folder scopes invalidated after any deletion
## Tag Cloud & Explore
- Visual cluster explore: k-means over CLIP embeddings, configurable k,
representative thumbnail per cluster; cache keyed on xxh3 of embedding set
- Tag explore: ranked tag list with image counts and representative
thumbnail per tag; invalidated when AI tagging completes or folder removed
- Tag autocomplete for search bar
## Folder Management
- Inline rename (display name only, not OS rename)
- Relocate: file-picker to update folder path; all image paths rewritten
using SUBSTR prefix replacement to avoid corrupting paths that contain
the folder name as a substring
- Missing-folder recovery banner: Locate or Remove, never silent deletion
- Right-click context menu on sidebar items: Reindex, Rename, Locate,
Remove; hover buttons preserved alongside context menu
## Background Tasks
- Per-folder progress panel with embedding, tagging, caption, and
thumbnail stage breakdown
- Retry button per task for failed embeddings and tagging jobs
- Completed-task notifications (system tray via tauri-plugin-notification)
- Scan errors shown inline; WalkDir permission errors protect existing
records from deletion rather than cascading data loss
## Backend correctness
- sqlite-vec DML performed outside transactions throughout (virtual-table
limitation); embedding revision incremented on delete as well as insert
- Tagging job discard checks status = 'processing' so paused jobs reset
to 'pending' are also skipped, not just cancelled ones
- Stale async responses in Lightbox guarded with cancellation flags and
currentImageIdRef for both tag-load and tag-add callbacks
- Duplicate cache cleared on reindex; folder-removal clears vector rows
outside transaction before deleting the folder row
Sets up Tauri v2 + React frontend with SQLite metadata store,
sqlite-vec for CLIP embedding infrastructure, and r2d2 connection
pool replacing the single Arc<Mutex<Connection>>. Indexer now uses
rayon for parallel file metadata collection.
LyAhn