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* docs(research): add ultra-low-bit quantization & edge deployment research Comprehensive research collection on 2-bit/3-bit quantization for ruvLLM: - 01: Ultra-low-bit quantization survey (ICLR'26, QuIP, BitNet, I-quants) - 02: Quantization-aware training (QAT) with reasoning preservation - 03: QuIP 2-bit framework analysis (incoherence processing, E8 lattice) - 04: MoE memory-aware routing for edge SRAM budgets - 05: ruvLLM quantization architecture deep review and gap analysis - 06: Rust implementation plan for 2-bit QAT pipeline (14-week roadmap) - 07: Novel 3-int pi-constant quantization using irrational scaling Key findings: ruvLLM has strong foundations (BitNet, K-quants, GGUF, KV cache) but needs QAT training loop and differentiable quantization primitives. Pi-constant scaling provides ~0.5 bit effective precision gain at 3-bit. https://claude.ai/code/session_01E4pmfETYzknb1xq2dzCCaj * docs(adr): add ADR-090 ultra-low-bit QAT & pi-quantization DDD architecture Comprehensive architecture decision record for implementing 2-bit/3-bit quantization-aware training in ruvLLM using Domain-Driven Design: - 5 bounded contexts: Quantization Core, Training, MoE Routing, WASM Runtime, Observability - Pi-constant quantization with irrational scaling (pi/k step sizes) - QAT training loop with STE variants and LoRA-QAT lightweight path - QuIP incoherence via fast Walsh-Hadamard (O(n log n)) - Memory-aware MoE routing with expert precision allocation - WASM SIMD128 kernels reusing existing tl1_wasm.rs LUT pattern - Security: weight integrity, GGUF validation, WASM sandbox - Benchmarking: criterion suite with throughput/quality targets - 14-week timeline, maps to 18 existing files for extension Placed in docs/adr/ddd/ per DDD architectural pattern organization. https://claude.ai/code/session_01E4pmfETYzknb1xq2dzCCaj --------- Co-authored-by: Claude <noreply@anthropic.com> |
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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: 2026-02-26 | Version: 2.0.4 (core) / 0.1.100 (npm) | Status: Production Ready