mirror of
https://github.com/ruvnet/RuVector.git
synced 2026-05-25 23:24:03 +00:00
14ed07e2ce
AD-23: Phase-1 Distillation via External GPU Teacher Artifacts - One-time GPU job produces behavioral artifacts (routing traces, sparse logits, preference labels) — not trained weights - CPU-only refinement: router repair, LoRA correction, EWC++, policy optimization using teacher artifacts - Acceptance criteria: 200-prompt suite, all 3 behavioral gates, stability under 10% corpus perturbation expert_cache.rs: MoE expert hot-set caching (new file) - ExpertCache with LRU/LFU/Adaptive eviction policies - MoeBatchScheduler: reorder token execution by expert for cache reuse - Prefetcher trait for future platform-specific prefetch intrinsics - 12 tests (92/92 bitnet tests pass) DDD v2.5: 6 new ubiquitous language terms (Teacher Artifact, Behavioral Distillation, Router Repair, Sparse Logits, Corpus Perturbation) and 4 new open questions (#27-30) for Phase-1 operability. https://claude.ai/code/session_011nTcGcn49b8YKJRVoh4TaK |
||
|---|---|---|
| .. | ||
| adr | ||
| analysis | ||
| api | ||
| architecture | ||
| benchmarks | ||
| cloud-architecture | ||
| code-reviews | ||
| dag | ||
| development | ||
| examples | ||
| gnn | ||
| guides | ||
| hnsw | ||
| hooks | ||
| implementation | ||
| integration | ||
| nervous-system | ||
| optimization | ||
| plans/subpolynomial-time-mincut | ||
| postgres | ||
| project-phases | ||
| publishing | ||
| research | ||
| ruvllm | ||
| security | ||
| sparse-inference | ||
| sql | ||
| testing | ||
| training | ||
| .gitkeep | ||
| INDEX.md | ||
| README.md | ||
| REPO_STRUCTURE.md | ||
RuVector Documentation
Complete documentation for RuVector, the high-performance Rust vector database with global scale capabilities.
📚 Documentation Structure
docs/
├── adr/ # Architecture Decision Records
├── analysis/ # Research & analysis docs
├── api/ # API references (Rust, Node.js, Cypher)
├── architecture/ # System design docs
├── benchmarks/ # Performance benchmarks & results
├── cloud-architecture/ # Cloud deployment guides
├── code-reviews/ # Code review documentation
├── dag/ # DAG implementation
├── development/ # Developer guides
├── examples/ # SQL examples
├── gnn/ # GNN/Graph implementation
├── guides/ # User guides & tutorials
├── hnsw/ # HNSW index documentation
├── hooks/ # Hooks system documentation
├── implementation/ # Implementation details & summaries
├── integration/ # Integration guides
├── nervous-system/ # Nervous system architecture
├── optimization/ # Performance optimization guides
├── plans/ # Implementation plans
├── postgres/ # PostgreSQL extension docs
├── project-phases/ # Development phases
├── publishing/ # NPM publishing guides
├── research/ # Research documentation
├── ruvllm/ # RuVLLM documentation
├── security/ # Security audits & reports
├── sparse-inference/ # Sparse inference docs
├── sql/ # SQL examples
├── testing/ # Testing documentation
└── training/ # Training & LoRA docs
Getting Started
- guides/GETTING_STARTED.md - Getting started guide
- guides/BASIC_TUTORIAL.md - Basic tutorial
- guides/INSTALLATION.md - Installation instructions
- guides/AGENTICDB_QUICKSTART.md - AgenticDB quick start
- guides/wasm-api.md - WebAssembly API documentation
Architecture & Design
- architecture/ - System architecture details
- cloud-architecture/ - Global cloud deployment
- adr/ - Architecture Decision Records
- nervous-system/ - Nervous system architecture
API Reference
- api/RUST_API.md - Rust API reference
- api/NODEJS_API.md - Node.js API reference
- api/CYPHER_REFERENCE.md - Cypher query reference
Performance & Benchmarks
- benchmarks/ - Performance benchmarks & results
- optimization/ - Performance optimization guides
- analysis/ - Research & analysis docs
Security
- security/ - Security audits & reports
Implementation
- implementation/ - Implementation details & summaries
- integration/ - Integration guides
- code-reviews/ - Code review documentation
Specialized Topics
- gnn/ - GNN/Graph implementation
- hnsw/ - HNSW index documentation
- postgres/ - PostgreSQL extension docs
- ruvllm/ - RuVLLM documentation
- training/ - Training & LoRA docs
Development
- development/CONTRIBUTING.md - Contribution guidelines
- development/MIGRATION.md - Migration guide
- testing/ - Testing documentation
- publishing/ - NPM publishing guides
Research
- research/ - Research documentation
- cognitive-frontier/ - Cognitive frontier research
- gnn-v2/ - GNN v2 research
- latent-space/ - HNSW & attention research
- mincut/ - MinCut algorithm research
🚀 Quick Links
For New Users
- Start with Getting Started Guide
- Try the Basic Tutorial
- Review API Documentation
For Cloud Deployment
- Read Architecture Overview
- Follow Deployment Guide
- Apply Performance Optimizations
For Contributors
- Read Contributing Guidelines
- Review Architecture Decisions
- Check Migration Guide
For Performance Tuning
- Review Optimization Guide
- Run Benchmarks
- Check Analysis
📊 Documentation Status
| Category | Directory | Status |
|---|---|---|
| Getting Started | guides/ | ✅ Complete |
| Architecture | architecture/, adr/ | ✅ Complete |
| API Reference | api/ | ✅ Complete |
| Performance | benchmarks/, optimization/, analysis/ | ✅ Complete |
| Security | security/ | ✅ Complete |
| Implementation | implementation/, integration/ | ✅ Complete |
| Development | development/, testing/ | ✅ Complete |
| Research | research/ | 📚 Ongoing |
Total Documentation: 170+ comprehensive documents across 25+ directories
🔗 External Resources
- GitHub Repository: https://github.com/ruvnet/ruvector
- Main README: ../README.md
- Changelog: ../CHANGELOG.md
- License: ../LICENSE
Last Updated: 2026-01-21 | Version: 0.1.29 | Status: Production Ready