Version 2.0 AI-POWERED DOCUMENT TRANSFORMS New AI Hub toolbar with 5 document-aware transforms -- each uses your actual retrieved source chunks, not just the AI response text. - Key Facts: Source-backed bullet points with document/page attribution - Step-by-Step: Real procedures with specs and part numbers from your docs - Plain English: Simplifies complex technical content into accessible language - What's Missing?: Identifies gaps between your question and the retrieved answer - Illustrate: Image Playground visualization powered by LLM concept extraction SEARCH & RETRIEVAL UPGRADES - BM25 length normalization aligned for better recall on uniform-size chunks - 5 regex patterns pre-compiled as static constants - NLTagger lemmatization in keyword search - Anti-hallucination Gate E uses hardware-optimized cosine similarity - Verification Gate thresholds tuned to reduce false abstentions IMAGE PLAYGROUND On-device LLM translates domain jargon into visual scenes. No more try another description on technical content. FORMATTED RESPONSES Full markdown rendering: headers, bullets, bold, code blocks, block quotes. 6 regex patterns normalize Apple FM single-line output. PERFORMANCE (per Apple Silicon chip) - 2-4x parallel cross-encoder reranking via TaskGroup - 3x faster MLMultiArray fills with dataPointer bulk copy - Device-specific OCR concurrency (A19 Pro 8 ops, A18 Pro 6, A17 Pro 4) - 50-80% OCR skip rate on clean digital PDFs - 3-tier Metal GPU: threadgroup/SIMD4/scalar auto-selected per query size - 5 OCR candidates evaluated per recognition (was 3) RELIABILITY - Compression capped at 5 chunks with fresh LLM session per chunk - 12-second compression time budget - Rate-limit retry with 2s backoff - Extractive fallback upgraded: 6 chunks x 500 chars with section titles ZERO-DATA-LOSS INGESTION - Font cipher detection prevents 93% content loss on font-encoded PDFs - 5 Unicode regex patterns fixed - Image batch reduced from 20 to 5 pages for lower memory usage STABILITY - MMR crash fixed (GPU matrix edge case) - StoreKit 5s timeout (was 30-60s hang offline) - BGTask registration fixed - Swift 6 concurrency: 11 files updated, zero runtime change - 102 services, 175+ tests across 15 files

Version 1.2.0 RICH MARKDOWN RESPONSE RENDERING Responses now display with full formatting — headers, bullets, numbered lists, bold, code blocks, and block quotes. • Block-Level Markdown Parser — h1-h6, bullet lists, numbered lists, code fences, block quotes, horizontal rules, paragraphs. • Inline Normalization — Apple FM concatenates markdown on one line. 6 regex patterns split headers, bullets, numbered items onto separate lines before parsing. • Response-Cleaning Functions Audited — Two functions were stripping ALL markdown. Both rewritten to preserve formatting while removing artifacts. • Formatting-Aware LLM Prompts — All system prompts now instruct the model to use headers, bullets, and bold. • Paragraph Structure Preservation — Sentence joining uses paragraph breaks, maintaining document structure. DEVICE-OPTIMIZED PERFORMANCE ENGINE Every pipeline stage adapts to your specific Apple Silicon chip. • 3-Tier Metal GPU Search — Automatically selects fastest shader: Threadgroup (≥1000 vectors), SIMD4 (100-999), or Scalar fallback. Previously all searches used the slowest kernel. • Device-Specific OCR Concurrency — A19 Pro: 8 ops @ 1ms. A18 Pro: 6 @ 2ms. A17 Pro: 4 @ 3ms. Older: 2 @ 6ms. • Adaptive OCR Page Filtering — Pre-screens pages, skipping 50-80% of clean digital pages before OCR runs. • Concurrent GPU Rendering — CIFilter preprocessing now runs in parallel (was serialized). • Concurrent Neural Reranking — Cross-encoder scores pairs via TaskGroup. Bulk dataPointer copy instead of per-element subscript — 3× faster. • GPU Embedding Ingestion Mode — Uses CPU+GPU compute units during ingestion, freeing Neural Engine for OCR. • 5-Candidate OCR — Evaluates 5 transcription alternatives per recognition (was 3). STABILITY & HARDENING • Fixed crash in MMR diversification (dimension 0 edge case) • Matrix dimension validation added to RAGEngine • GPUComputeService edge cases — empty arrays no longer wrapped in spurious outer arrays • StoreKit product loading races against 5-second timeout — no more 30-60s hangs on airplane mode • Fatal threading assertion replaced with safe fallback in Release builds • Pipeline trace diagnostics compiled out of Release via #if DEBUG • Privacy manifest updated with SystemBootTime API declaration • Dead code removed from cross-encoder path ZERO-DATA-LOSS INGESTION Prevents silent content loss on font-encoded PDFs. • Font Cipher Detection — PHASE -1 validation detects PDFs where characters are shifted (Kia, Hyundai manuals). Jaccard similarity between OCR and PDFKit text. Garbled docs route through full Vision OCR. Prevents 93% content loss. • Raw String Regex Fix — 5 Unicode patterns were failing in Swift raw strings. CJK bullet, en-dash, em-dash patterns now work. • Garbled Image Extraction Fix — Image extraction on font-encoded PDFs no longer skips diagrams. • Dynamic Image Text Budget — Scales with document complexity instead of fixed limit. SWIFT 6 COMPLIANCE • 11 files updated with strict concurrency annotations. Zero runtime behavior change.

Version 1.1 • Updated descriptions and metadata to accurately reflect the 23-step RAG pipeline. • Clarified on-device storage and privacy guarantees. • Documentation improvements.