docs: Comprehensive Claude Code README with features and novel capabilities

data: Add v2.5 performance optimization stats

docs: Update model card for v2.5 - Performance Optimized Edition

Update model card for v2.4 Ecosystem Edition with 100% routing accuracy

Update v2.4 SOTA training stats

v2.4 ecosystem training stats

v2.4: Ecosystem Edition - 2,545 triplets, 388 capabilities, 100% validation

Fix collapsed sections: use <b> instead of <h2> for inline formatting

Add collapsed sections, SEO optimization, model-index metrics

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Consolidate badges to single line

Update badges with SOTA metrics: 100% hybrid, 88.2% embedding, contrastive training

Update model card with SOTA contrastive training results (88.2% embedding, 100% hybrid)

Update model card with 100% routing accuracy benchmarks

docs: remove redundant metrics and honest assessment sections

docs: move use case table and honest assessment to top of page

docs: add npx ruvector install and Rust crates documentation

docs: focus on cost savings - $0 local routing vs $0.003/call API

docs: remove misleading HumanEval benchmarks, add honest metrics assessment

docs: honest positioning - augments Claude Code, doesn't replace it

feat: add RuVector badge and self-learning flow diagram

fix: summary tags now single-line (removed nested b/h3 tags)

fix: restore collapsed sections (remove 'open' attribute from details tags)

docs: improved introduction with clear explanation of self-learning and multi-agent optimization

docs: comprehensive model card with tutorials, API reference, and benchmarks

docs: clarify RuvLLM requires candle feature, add hardware requirements

Enhanced README with capabilities, collapsed tutorials, benchmarks, and comprehensive documentation

Comprehensive model card: World's First Self-Learning LLMs for Claude Code

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initial commit