TDZ C64 Knowledge

# Wiki Improvements - Comprehensive Data Presentation Strategy **Current KB Statistics:** - 215 documents, 6,107 chunks, 8.9M words - 1,181 entities, 14 topics, 15 clusters - 20 auto-generated articles - Rich metadata: tags, relationships, source URLs **Goal:** Transform from basic wiki to interactive knowledge exploration platform --- ## Phase 1: Visual Data Presentation (High Impact, Medium Effort) ### 1.1 Knowledge Graph Visualization ⭐⭐⭐⭐⭐ **What:** Interactive network graph showing entity relationships **Why:** 1,181 entities with relationships are currently buried in lists **Technology:** D3.js force-directed graph or Vis.js **Features:** - Nodes = entities (colored by type: hardware, music, graphics, etc.) - Edges = co-occurrence strength (documents in common) - Click entity → highlight connections → show related docs - Zoom, pan, filter by entity type - Search to focus on specific entity - "Ego network" view (entity + 1-2 hops) **Implementation:** ```javascript // Export entity graph data in wiki_export.py { "nodes": [{"id": "VIC-II", "type": "HARDWARE", "count": 45}, ...], "edges": [{"source": "VIC-II", "target": "sprite", "weight": 23}, ...] } ``` **Impact:** Users can SEE knowledge structure, not just read lists **Effort:** 2-3 days (D3.js integration + data export) --- ### 1.2 Document Similarity Map ⭐⭐⭐⭐ **What:** 2D visualization of document clusters using embeddings **Why:** 15 clusters exist but not visualized **Technology:** UMAP/t-SNE dimensionality reduction + Canvas/SVG **Features:** - Each document = point in 2D space - Color by topic/cluster - Hover = document title + tags - Click = navigate to document - Search highlights matching docs - Lasso select to explore region **Data Source:** Already have embeddings from semantic search! **Implementation:** ```python # In wiki_export.py from sklearn.manifold import TSNE embeddings_2d = TSNE(n_components=2).fit_transform(embeddings) # Export as coordinates.json ``` **Impact:** Discover related docs visually, understand knowledge landscape **Effort:** 1-2 days (already have embeddings) --- ### 1.3 Interactive Timeline Visualization ⭐⭐⭐⭐ **What:** Visual timeline instead of flat list **Why:** 15 events exist but presented as boring list **Technology:** Timeline.js or Vis-Timeline **Features:** - Horizontal scrollable timeline - Events with icons and descriptions - Filter by category (hardware, music, software) - Click event → related documents - Zoom in/out (decades → years → months) **Enhancement:** Extract dates from documents automatically - Parse "released in 1982", "published March 1985" - Add to timeline automatically **Impact:** Historical context becomes visual and engaging **Effort:** 1 day (library integration) --- ### 1.4 Tag Cloud & Tag Hierarchy ⭐⭐⭐ **What:** Visual tag browser with size = frequency **Why:** 100+ tags currently hidden in metadata **Features:** - Tag cloud (size = document count) - Click tag → filter documents - Tag hierarchy tree (hardware → VIC-II → sprites) - Tag co-occurrence matrix - "Related tags" suggestions **Impact:** Improve discoverability through tags **Effort:** 1 day --- ## Phase 2: Interactive Exploration Tools (High Value, Medium Effort) ### 2.1 Entity Relationship Explorer ⭐⭐⭐⭐⭐ **What:** Dedicated page for exploring entity connections **Features:** - Select entity → see all related entities ranked by connection strength - "Path finder": shortest path between two entities - Entity comparison (VIC-II vs VIC, SID vs AY-3-8910) - Co-occurrence heatmap - Entity evolution over time (which docs mention it) **Example Use Cases:** - "What entities appear with VIC-II?" → sprite, raster, color, etc. - "Path from SID chip to Rob Hubbard" → SID → music → composers → Rob Hubbard - "Compare VIC-II and VIC" → side-by-side entity stats **Impact:** Deep knowledge exploration, discover connections **Effort:** 2-3 days --- ### 2.2 Smart Document Recommendations ⭐⭐⭐⭐ **What:** "If you read this, also read..." suggestions **Why:** 6,107 chunks but no guidance on what to read next **Algorithm:** - Cosine similarity using embeddings (already have!) - Entity overlap scoring - Topic similarity - User reading history (localStorage) **Features:** - "Related Documents" sidebar on every doc page - "Continue Your Journey" section - "You might also like" on homepage - Trending/popular documents this week **Impact:** Keep users engaged, increase content discovery **Effort:** 1-2 days (already have embeddings) --- ### 2.3 Faceted Search & Advanced Filters ⭐⭐⭐⭐ **What:** Multi-dimensional filtering UI **Current Problem:** Search is single input, no refinement **Features:** - Filter by: file type, tags, date range, entity mentions - Facet counts ("Hardware (45), Music (23), Graphics (12)") - Combine filters (documents with SID AND music AND 1980s) - Save searches, export results - Sort by relevance, date, length, entity count **UI Inspiration:** Elasticsearch/Kibana style facets **Impact:** Power users can slice data precisely **Effort:** 2 days --- ### 2.4 Reading Lists & Learning Paths ⭐⭐⭐⭐ **What:** Curated sequences of documents for learning **Examples:** - "Getting Started with SID Music Programming" (5 docs) - "VIC-II Deep Dive" (8 docs) - "6502 Assembly for Beginners" (10 docs) - "Complete Hardware Reference" (15 docs) **Features:** - Progress tracking (3/8 documents read) - Estimated time (45 minutes total) - Next/Previous navigation - Export as PDF - Share reading list URL **Data Source:** - Auto-generate from entity clustering - Manual curation via admin interface **Impact:** Structured learning, reduces overwhelm **Effort:** 2-3 days --- ## Phase 3: Enhanced Content Generation (Medium-High Effort) ### 3.1 AI-Powered Article Synthesis ⭐⭐⭐⭐⭐ **What:** Generate comprehensive articles using LLM + RAG **Current Problem:** 20 articles are just entity lists **Approach:** 1. For major topics (SID, VIC-II, sprites, etc.) 2. Use RAG to gather relevant chunks 3. Generate structured article with sections: - Overview & History - Technical Specifications - Programming Examples - Common Use Cases - Related Topics - Code Examples - Register Maps - References **Quality:** Citations to source documents for every claim **Impact:** Transform wiki from document browser to knowledge synthesizer **Effort:** 3-4 days (integrate with existing RAG system) --- ### 3.2 Automatic Glossary Generation ⭐⭐⭐⭐ **What:** C64 terminology dictionary with definitions **Sources:** - Extract definitions from documents - Entity descriptions - Common acronyms (SID, VIC-II, CIA, KERNAL, etc.) **Features:** - Alphabetical browse - Search glossary - Link terms in documents to definitions (tooltips) - "Word of the Day" - Export as PDF reference **Impact:** Quick reference for newcomers **Effort:** 2 days --- ### 3.3 Memory Map Visualizations ⭐⭐⭐⭐ **What:** Interactive C64 memory map **Features:** - Visual $0000-$FFFF address space - Color-coded regions (ROM, RAM, I/O) - Click region → see details - Search by address or name - Show what's stored at each location - Extract from documents mentioning addresses **Example:** ``` $D000-$D3FF: VIC-II registers $D400-$D7FF: SID registers ``` **Data Source:** Parse memory addresses from documents **Impact:** Essential reference tool **Effort:** 2-3 days --- ### 3.4 Register Reference Tables ⭐⭐⭐⭐ **What:** Comprehensive chip register documentation **Chips:** VIC-II, SID, CIA, etc. **Features:** - Table format (Address, Name, Bits, Description) - Bit breakdown diagrams - Example code snippets - Links to documents explaining usage - Export as PDF **Impact:** Technical reference quality **Effort:** 2 days (parse from existing docs) --- ## Phase 4: Advanced Interactive Features (High Effort, High Impact) ### 4.1 Code Playground ⭐⭐⭐⭐⭐ **What:** In-browser 6502 assembly editor + simulator **Technology:** JS-based 6502 emulator (e.g., jsbeeb, easy6502) **Features:** - Edit assembly code from examples - Assemble and run instantly - See memory, registers, output - Share code snippets - Save to local storage **Integration:** Extract code examples from documents automatically **Impact:** HUGE - learn by doing, test examples **Effort:** 5-7 days (integrate emulator) --- ### 4.2 SID Music Player ⭐⭐⭐⭐ **What:** Play SID music files referenced in docs **Technology:** JSSID or WebSID **Features:** - Embedded player on music-related pages - Waveform visualization - Voice channel breakdown - Tempo/speed controls - Download SID files **Impact:** Audio examples bring music docs to life **Effort:** 3-4 days --- ### 4.3 Visual Programming Tool ⭐⭐⭐ **What:** Block-based sprite/graphics editor **Features:** - Design sprites visually (8x21 pixels) - Generate assembly code automatically - Preview in real-time - Color selection - Export as data statements **Impact:** Makes graphics programming accessible **Effort:** 4-5 days --- ## Phase 5: Analytics & Intelligence (Medium Effort) ### 5.1 Knowledge Coverage Dashboard ⭐⭐⭐⭐ **What:** Meta-analysis of KB contents **Metrics:** - Topic coverage heatmap (which topics have most docs) - Knowledge gaps (entities with <3 documents) - Document quality scores (completeness, citations) - Growth over time (docs added per month) - Most/least covered topics - Redundancy analysis (duplicate content detection) **Impact:** Identify what to add next **Effort:** 2 days --- ### 5.2 Citation & Influence Network ⭐⭐⭐ **What:** Show which documents reference others **Features:** - Citation graph (Doc A → Doc B) - Most influential documents (highest in-degree) - Citation chains - "Seminal papers" identification **Impact:** Find authoritative sources **Effort:** 2 days (parse cross-references) --- ### 5.3 Trending Topics ⭐⭐⭐ **What:** Show what's popular/being read **Data Sources:** - Search queries (localStorage) - Page views (if analytics added) - Entity mentions over time **Features:** - "Hot topics this week" - "Rising interest" indicators - Topic trend graphs **Impact:** Community engagement **Effort:** 1-2 days --- ## Phase 6: Export & Integration (Low-Medium Effort) ### 6.1 Advanced Export Options ⭐⭐⭐ **Formats:** - PDF book (all articles, formatted) - EPUB for e-readers - Markdown for Obsidian - JSON for developers - RSS feed for updates **Impact:** Reach users in preferred format **Effort:** 2-3 days --- ### 6.2 API Documentation ⭐⭐⭐ **What:** Document the REST API for developers **Features:** - Interactive API explorer (Swagger/OpenAPI) - Code examples (Python, JavaScript, curl) - Rate limits, authentication - Use cases **Impact:** Enable third-party tools **Effort:** 1 day --- ### 6.3 VICE Emulator Integration ⭐⭐⭐⭐ **What:** Deep links to VICE emulator **Features:** - "Load in VICE" buttons for programs - Memory state export - Register presets **Impact:** Seamless learning experience **Effort:** 2 days --- ## Phase 7: Collaboration (High Effort, Optional) ### 7.1 User Annotations ⭐⭐⭐ **What:** Let users add notes to documents **Storage:** localStorage or backend **Features:** - Highlight text + add note - Personal notes (not shared) - Export notes **Impact:** Personalized learning **Effort:** 3-4 days --- ### 7.2 Ratings & Reviews ⭐⭐ **What:** Document quality feedback **Features:** - 5-star ratings - "Was this helpful?" buttons - Comments **Impact:** Crowdsourced quality signals **Effort:** 2-3 days (requires backend) --- ## Recommended Implementation Roadmap ### Sprint 1 (1 week): Visual Fundamentals 1. Knowledge Graph Visualization 2. Tag Cloud & Hierarchy 3. Interactive Timeline ### Sprint 2 (1 week): Discovery Tools 1. Smart Document Recommendations 2. Faceted Search 3. Entity Relationship Explorer ### Sprint 3 (1 week): Content Enhancement 1. AI-Powered Article Synthesis 2. Automatic Glossary 3. Reading Lists ### Sprint 4 (1 week): Technical References 1. Memory Map Visualization 2. Register Reference Tables 3. Document Similarity Map ### Sprint 5 (2 weeks): Interactive Features 1. Code Playground 2. SID Music Player 3. Knowledge Dashboard ### Sprint 6 (1 week): Polish & Export 1. Advanced Export Options 2. API Documentation 3. Analytics & Trending --- ## Priority Matrix **Must Have (Weeks 1-2):** - Knowledge Graph Visualization - Smart Recommendations - Faceted Search - Interactive Timeline **Should Have (Weeks 3-4):** - AI Article Synthesis - Entity Explorer - Reading Lists - Glossary **Nice to Have (Weeks 5-6):** - Code Playground - SID Player - Memory Maps - Analytics **Future:** - Collaboration features - Advanced exports - Third-party integrations --- ## Technology Stack Recommendations **Visualization:** - D3.js (knowledge graph, timelines) - Vis.js (networks, timelines) - Chart.js (analytics) - Plotly.js (scientific plots) **Interactive:** - Monaco Editor (code editing) - JSSID (SID playback) - 6502.js (assembly emulation) **Search:** - Continue using Fuse.js - Add Lunr.js for faceted search **UI Libraries:** - Keep vanilla JS (avoid framework bloat) - Consider Alpine.js for reactivity - Tailwind CSS for rapid styling (optional) --- ## Metrics for Success 1. **Engagement:** Time on site, pages per session 2. **Discovery:** % users clicking related docs 3. **Learning:** Reading list completion rate 4. **Search:** Search refinement rate 5. **Exploration:** Graph interactions, filter usage --- ## Quick Wins (Can Implement Today) 1. **"Related Documents" sidebar** (1 hour) - Use existing embeddings - Show top 5 similar docs 2. **Tag cloud on homepage** (1 hour) - Parse existing tags - Size by frequency 3. **Document stats cards** (1 hour) - Show entity count, word count, reading time - "Contains code examples" badge 4. **Smart breadcrumbs** (30 min) - Add topic/cluster to breadcrumb - "Home > Hardware > VIC-II > [Doc]" 5. **Quick search filters** (1 hour) - Add buttons "Only Hardware", "Only Music" - Filter existing search results --- ## Data We Have But Don't Show Currently **underutilized data:** - ✅ Embeddings → Document similarity maps - ✅ Entity relationships → Knowledge graph - ✅ Topics → Topic explorer - ✅ Clusters → Visual clusters - ✅ Semantic search → Better recommendations - ✅ Chunks → In-document navigation - ✅ Source URLs → Citation tracking - ✅ Tags → Tag hierarchies - ✅ Events → Visual timeline **We have GOLD, just need to present it better!** --- ## Conclusion The KB has incredibly rich data (8.9M words, 1,181 entities, relationships, embeddings) but presents it in a flat, text-heavy way. **Biggest Impact:** 1. Knowledge Graph (see connections) 2. AI Article Synthesis (readable content) 3. Smart Recommendations (discovery) 4. Code Playground (interactive learning) 5. Visual Timeline (historical context) **Start with Phase 1-2** (visual + exploration) for maximum impact with reasonable effort. Transform from: "Text document archive" To: "Interactive knowledge exploration platform"