docs: update README for vision pipeline and Postgres stack

Reflect current state: Postgres+pgvector replaces SQLite, vision
pipeline (YOLO, CLIP, InsightFace, OCR) is shipped, card-grid browse
views for tags/colors/ratings/people, map view, duplicate detection,
and semantic search are all live. Remove completed items from future
features.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

README.md

@@ -6,21 +6,27 @@ A self-hosted, Docker-deployed photo management application inspired by Lightroo
 
 - **Photo Organization**: Browse photos in a timeline view with virtual scrolling for performance
 - **Thumbnail Generation**: Automatic thumbnail generation for all photo formats including RAW
-- **Metadata Extraction**: Full EXIF/XMP metadata extraction and search
+- **Metadata Extraction**: Full EXIF/XMP metadata extraction and GPS mapping
 - **Keyboard Shortcuts**: Lightroom-style keyboard navigation and actions
 - **File Support**: JPEG, PNG, RAW formats (CR2, CR3, NEF, ARW, etc.), HEIC/HEIF, and videos
 - **Heaps**: Temporary collections for organizing photos
-- **Tags & Ratings**: Organize with tags, star ratings, and color labels
+- **Tags & Ratings**: Organize with tags, star ratings, and color labels — each with a card-grid browse view that drills into a full Timeline detail
 - **Dark Mode**: Photography-optimized dark interface
+- **Vision Pipeline**: YOLO object detection, OCR text extraction, CLIP embeddings for semantic search, InsightFace face detection and clustering
+- **People View**: Browse identified people as cards, click to see all photos of a person
+- **Map View**: Browse GPS-tagged photos on an interactive Leaflet map
+- **Duplicate Detection**: Perceptual hash-based duplicate grouping with best-pick UI
+- **Semantic Search**: Natural-language photo search powered by CLIP embeddings
 
 ## Tech Stack
 
 ### Backend
 - Python 3.12 with FastAPI
-- SQLite with SQLAlchemy (async)
+- PostgreSQL + pgvector with SQLAlchemy (async) and Alembic migrations
 - Celery + Redis for background tasks
 - pyvips for fast thumbnail generation
 - ExifTool for metadata extraction
+- ONNX Runtime for vision models (YOLO, CLIP, InsightFace)
 
 ### Frontend
 - React 18 with TypeScript
@@ -161,9 +167,9 @@ The application consists of 5 Docker services:
 
 - **frontend**: React SPA served by Nginx
 - **backend**: FastAPI REST API
-- **worker**: Celery workers for background tasks
+- **worker**: Celery workers for background tasks (thumbnails, metadata, vision pipeline)
 - **redis**: Message broker for Celery
-- **db**: SQLite database (file-based)
+- **db**: PostgreSQL with pgvector extension (for CLIP/face embeddings)
 
 ## Keyboard Shortcuts
 
@@ -172,8 +178,7 @@ The application consists of 5 Docker services:
 | `←` `→` `↑` `↓` | Navigate photos |
 | `Space` | Quick preview |
 | `Enter` | Open loupe view |
-| `P` | Pick photo |
-| `X` | Reject photo |
+| `T` | Add to active heap |
 | `1-5` | Set star rating |
 | `Tab` | Toggle left sidebar |
 | `I` | Toggle metadata panel |
@@ -211,14 +216,12 @@ Source roots are managed by the UI / API (the database owns them). Edit
 - Handles 100,000+ photos efficiently
 - Virtual scrolling for smooth timeline navigation
 - Thumbnail generation at 10+ photos/second
-- SQLite FTS5 for fast full-text search
+- PostgreSQL full-text search with tsvector indexing
+- pgvector for fast nearest-neighbor embedding search
 
-## Future Features (Phase 2)
+## Future Features
 
-- AI-powered scene classification
-- Face detection and clustering
-- Smart albums
-- Duplicate detection
+- Smart albums (auto-populated by saved filters)
 - Export presets
 - Multi-user support