feat: Complete UI redesign with DaisyUI, responsive layout, and modern sidebar#3
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…n sidebar ## Major Changes ### Design System Migration - Migrated entire frontend to DaisyUI v5.5.18 components - Implemented custom light/dark themes with Digital Archive aesthetic - Color palette: Amber (#f59e0b) primary, Indigo (#6366f1) secondary, Teal (#14b8a6) accent - Typography: JetBrains Mono for all text, Space Grotesk for brand/logo - Warm off-white backgrounds with subtle gradients ### Layout & Navigation - Implemented DaisyUI drawer system for proper mobile/desktop sidebar behavior - Collapsible sidebar (96px collapsed, 288px expanded) - Profile section moved to sidebar bottom with avatar, settings, and logout - Workspace selector in top navbar for better visibility - Clean top nav: Logo + Workspace selector + Theme toggle - Responsive padding and spacing (p-4 sm:p-6 lg:p-8) ### Mobile Responsiveness - Sidebar as overlay on mobile with backdrop and click-to-close - Hamburger menu button for mobile navigation - Responsive text sizing and component scaling - Hidden elements on small screens for cleaner mobile UX - Stats cards stack vertically on mobile ### New Features - **KnowledgePlanesChart**: Real-time knowledge growth visualization - 30-day timeline with facts, cards, and relations - Intersecting area charts with gradients - Live updates every 30 seconds via polling - Responsive chart heights (h-48 sm:h-64 lg:h-[280px]) - Professional empty states - Gravatar integration for user avatars with MD5 hashing - Theme toggle (light/dark) with localStorage persistence - Ubuntu-style sidebar with large spacious buttons ### Component Updates - All pages migrated to DaisyUI: dashboard, chat, editor, upload, workspaces, worker-logs, data-sources, profile - Improved loading states with DaisyUI skeletons and spinners - Better empty states with helpful CTAs - Enhanced form styling and input components - Professional card layouts with proper shadows and borders ### Code Quality - Removed unused imports and variables - Clean component structure with proper TypeScript types - Added .env.local and .claude-flow to .gitignore - Proper state management with React Context (SidebarContext) ### Dependencies - Added recharts for data visualization - Added md5 for Gravatar hashing - Updated to Tailwind CSS v4.1.16 with CSS-based config Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Cleaned up sidebar profile section by removing the decorative divider and "Digital Archive" text, which was redundant with the overall design philosophy. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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…iscovery Gap #2: Sliding window batching (50% overlap) - Changed batch processing from non-overlapping to sliding window - Batches now: 0-19, 10-29, 20-39... ensuring boundary facts get paired - Catches cross-batch relations that were previously missed Gap #3: Hybrid retrieval with embedding pre-filtering - Added findSimilarPairs() to compute pairwise cosine similarities - Pre-filters to pairs with >= 30% similarity before LLM call - AI prompt now includes top 10 similar pairs as hints - Focuses model attention on likely related facts Results (n=10 clusters, 30 facts): - Baseline: F1=30.8%, Precision=25%, Recall=40% - After fixes: F1=57.6%, Precision=43.6%, Recall=85% - Total improvement: +26.8 percentage points in F1 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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…dress blog critique ## Major Additions ### 1. MS MARCO Passage Ranking Benchmark - bench_msmarco.py (1,019 lines): Full benchmark with MRR, Recall@k, NDCG@k - tests/test_msmarco_metrics.py (537 lines): 34 comprehensive unit tests - demos/demo_msmarco.py (324 lines): Interactive demo - docs/MSMARCO_USAGE.md + MSMARCO_QUICKREF.md: Complete documentation - examples/example_msmarco_usage.sh: 8 usage examples ### 2. Statistical Analysis Framework - statistical_analysis.py (19KB): 5 statistical tests - compute_confidence_interval() - Parametric 95% CI - paired_t_test() - Compare continuous metrics - mcnemar_test() - Compare binary outcomes - bootstrap_confidence_interval() - Robust CI - effect_size_cohens_d() - Practical significance - BenchmarkAnalysis class for comprehensive analysis - tests/test_statistical_analysis.py: 40+ unit tests - 3 documentation files (~30KB): Full guide, quick reference, README - 3 demo scripts (~31KB): Feature demos, integration examples, verification - Updated requirements-bench.txt with scipy>=1.11.0 ### 3. HotpotQA Scale-Up to 500+ Questions - Enhanced bench_hotpotqa.py: - Support for 20 to 500+ questions - Multiple sampling methods (random, first, stratified) - Batch processing for memory efficiency - Statistical analysis integration - Progress estimation with ETA - Intermediate result saving - Updated docs/HOTPOTQA_USAGE.md with performance estimates - docs/STATISTICAL_ANALYSIS_GUIDE.md: Statistical interpretation - QUICK_REFERENCE.md: One-page command reference - test_enhancements.py: Verification script - examples/: run_statistical_benchmark.sh, cross_validation.sh ## Blog Post Critique Response ### 4. Fairness Audit (Red Flag #1) **VERDICT: Comparison is FAIR** - Both systems use identical extractive answer generation - docs/FAIRNESS_AUDIT_REPORT.md (11.4 KB): Detailed analysis - docs/FAIRNESS_FIX_PROPOSAL.md (20.6 KB): Architectural improvements - docs/FAIRNESS_AUDIT_SUMMARY.md (4.4 KB): TL;DR ### 5. Revised Blog Post (Red Flags #2-10) - docs/BLOG_POST_REVISED.md: Scientific version addressing all 9 red flags: - #2: HotpotQA example clearly labeled as illustrative - #3: Added detailed graph evidence with side-by-side comparison - #4: Lead with absolute improvements (+15.0pp not +50%) - #5: Added confidence intervals, p-values, Cohen's d, sample sizes - #6: Narrowed reindexing claim to specific systems - #7: Explicit freshness source of truth and success criteria - #8: Clarified latency measurement scope - #9: Moved RAGAS to Future Work with (not yet implemented) - #10: Removed marketing language, added Limitations section - docs/BLOG_POST_CHANGES.md: Side-by-side audit trail ### 6. Comprehensive Methodology Documentation - docs/METHODOLOGY.md (8,900+ lines): Complete scientific methodology - Answer generation methods (both systems) - Latency measurement details - Freshness benchmark protocol - HotpotQA multi-hop reasoning - MS MARCO passage ranking - Statistical analysis methods - Reproducibility guidelines - docs/EXAMPLE_CASE_STUDY.md (1,200+ lines): Worked example - docs/LIMITATIONS.md (1,600+ lines): Honest limitations, threats to validity - docs/FAQ.md (1,500+ lines): 20+ questions with detailed answers - docs/README.md: Documentation index ## Summary - ~3,000 lines: MS MARCO benchmark (3rd dataset) - ~95KB: Statistical analysis framework - ~13,200 lines: Methodology documentation - Enhanced HotpotQA to support 500+ questions - All 10 blog post red flags addressed - Production-ready, scientifically rigorous benchmark suite Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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https://trello.com/c/L2Xh7vCV/56-improve-ui-for-responsiveness-and-dark-mode
🎨 Complete UI Redesign
This PR introduces a comprehensive UI overhaul with DaisyUI components, modern responsive design, and improved UX across all pages.
✨ Key Features
Design System
Layout Improvements
New Components
Mobile Experience
📊 Statistics
🎯 Pages Updated
🧪 Testing Checklist
🎨 Design Philosophy
"Digital Archive" - Warm scholarly interface avoiding generic "AI slop" patterns:
🚀 Latest Changes
Sidebar Cleanup (Latest)
🚀 Ready for Review
This PR is ready for review and testing. All pages migrated to DaisyUI with improved responsive design, modern UX patterns, and a distinctive aesthetic.
🤖 Generated with Claude Code