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# SPARC Implementation Plan for RvLite
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## Overview
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**RvLite** (RuVector-Lite) is a standalone, WASM-first vector database with graph and semantic capabilities that runs anywhere - browser, Node.js, Deno, Bun, edge workers - without requiring PostgreSQL.
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This document outlines the complete implementation using **SPARC methodology**:
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- **S**pecification - Requirements, features, constraints
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- **P**seudocode - High-level algorithms and data structures
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- **A**rchitecture - System design and component interaction
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- **R**efinement - Detailed implementation with TDD
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- **C**ompletion - Integration, optimization, deployment
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## Project Goals
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### Primary Objectives
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1. **Zero Dependencies** - No PostgreSQL, Docker, or native compilation required
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2. **Universal Runtime** - Browser, Node.js, Deno, Bun, Cloudflare Workers
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3. **Full Feature Parity** - All ruvector-postgres capabilities (SQL, SPARQL, Cypher, GNN, learning)
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4. **Lightweight** - ~5-6MB WASM bundle (gzipped)
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5. **Production Ready** - Persistent storage, ACID transactions, crash recovery
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### Success Metrics
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- Bundle size: < 6MB gzipped
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- Load time: < 1s in browser
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- Query latency: < 20ms for 1k vectors
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- Memory usage: < 200MB for 100k vectors
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- Browser support: Chrome 91+, Firefox 89+, Safari 16.4+
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- Test coverage: > 90%
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## SPARC Phases
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### Phase 1: Specification (Weeks 1-2)
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- [01_SPECIFICATION.md](./01_SPECIFICATION.md) - Detailed requirements analysis
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- [02_API_SPECIFICATION.md](./02_API_SPECIFICATION.md) - Complete API design
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- [03_DATA_MODEL.md](./03_DATA_MODEL.md) - Storage and type system
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### Phase 2: Pseudocode (Week 3)
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- [04_ALGORITHMS.md](./04_ALGORITHMS.md) - Core algorithms
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- [05_QUERY_PROCESSING.md](./05_QUERY_PROCESSING.md) - SQL/SPARQL/Cypher execution
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- [06_INDEXING.md](./06_INDEXING.md) - HNSW and graph indexing
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### Phase 3: Architecture (Week 4)
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- [07_SYSTEM_ARCHITECTURE.md](./07_SYSTEM_ARCHITECTURE.md) - Overall design
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- [08_STORAGE_ENGINE.md](./08_STORAGE_ENGINE.md) - Persistence layer
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- [09_WASM_INTEGRATION.md](./09_WASM_INTEGRATION.md) - WASM bindings
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### Phase 4: Refinement (Weeks 5-7)
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- [10_IMPLEMENTATION_GUIDE.md](./10_IMPLEMENTATION_GUIDE.md) - TDD approach
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- [11_TESTING_STRATEGY.md](./11_TESTING_STRATEGY.md) - Comprehensive tests
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- [12_OPTIMIZATION.md](./12_OPTIMIZATION.md) - Performance tuning
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### Phase 5: Completion (Week 8)
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- [13_INTEGRATION.md](./13_INTEGRATION.md) - Component integration
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- [14_DEPLOYMENT.md](./14_DEPLOYMENT.md) - NPM packaging and release
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- [15_DOCUMENTATION.md](./15_DOCUMENTATION.md) - User guides and API docs
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## Implementation Timeline
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```
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Week 1-2: SPECIFICATION
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├─ Requirements gathering
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├─ API design
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├─ Data model definition
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└─ Validation with stakeholders
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Week 3: PSEUDOCODE
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├─ Core algorithms
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├─ Query processing logic
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└─ Index structure design
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Week 4: ARCHITECTURE
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├─ System design
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├─ Storage engine design
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└─ WASM integration plan
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Week 5-7: REFINEMENT (TDD)
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├─ Week 5: Core implementation
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│ ├─ Storage engine
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│ ├─ Vector operations
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│ └─ Basic indexing
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├─ Week 6: Query engines
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│ ├─ SQL executor
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│ ├─ SPARQL executor
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│ └─ Cypher executor
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└─ Week 7: Advanced features
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├─ GNN layers
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├─ Learning/ReasoningBank
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└─ Hyperbolic embeddings
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Week 8: COMPLETION
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├─ Integration testing
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├─ Performance optimization
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├─ Documentation
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└─ Beta release
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```
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## Development Workflow
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### 1. Test-Driven Development (TDD)
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Every feature follows:
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```
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1. Write failing test
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2. Implement minimal code to pass
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3. Refactor for quality
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4. Document and review
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```
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### 2. Continuous Integration
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```
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On every commit:
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├─ cargo test (Rust unit tests)
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├─ wasm-pack test (WASM tests)
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├─ npm test (TypeScript integration tests)
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├─ cargo clippy (linting)
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└─ cargo fmt --check (formatting)
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```
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### 3. Quality Gates
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- All tests must pass
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- Code coverage > 90%
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- No clippy warnings
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- Documentation complete
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- Performance benchmarks green
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## Key Technologies
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### Rust Crates
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- **wasm-bindgen** - WASM/JS interop
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- **serde** - Serialization
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- **dashmap** - Concurrent hash maps
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- **parking_lot** - Synchronization
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- **simsimd** - SIMD operations
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- **half** - f16 support
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- **rkyv** - Zero-copy serialization
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### JavaScript/TypeScript
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- **wasm-pack** - WASM build tool
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- **TypeScript 5+** - Type-safe API
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- **Vitest** - Testing framework
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- **tsup** - TypeScript bundler
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### Build Tools
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- **cargo** - Rust package manager
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- **wasm-pack** - WASM compiler
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- **pnpm** - Fast npm client
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- **GitHub Actions** - CI/CD
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## Project Structure
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```
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crates/rvlite/
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├── docs/ # SPARC documentation (this directory)
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│ ├── SPARC_OVERVIEW.md
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│ ├── 01_SPECIFICATION.md
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│ ├── 02_API_SPECIFICATION.md
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│ ├── 03_DATA_MODEL.md
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│ ├── 04_ALGORITHMS.md
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│ ├── 05_QUERY_PROCESSING.md
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│ ├── 06_INDEXING.md
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│ ├── 07_SYSTEM_ARCHITECTURE.md
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│ ├── 08_STORAGE_ENGINE.md
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│ ├── 09_WASM_INTEGRATION.md
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│ ├── 10_IMPLEMENTATION_GUIDE.md
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│ ├── 11_TESTING_STRATEGY.md
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│ ├── 12_OPTIMIZATION.md
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│ ├── 13_INTEGRATION.md
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│ ├── 14_DEPLOYMENT.md
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│ └── 15_DOCUMENTATION.md
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│
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├── src/
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│ ├── lib.rs # WASM entry point
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│ ├── storage/ # Storage engine
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│ │ ├── mod.rs
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│ │ ├── database.rs # In-memory database
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│ │ ├── table.rs # Table structure
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│ │ ├── persist.rs # Persistence layer
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│ │ └── transaction.rs # ACID transactions
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│ ├── query/ # Query execution
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│ │ ├── mod.rs
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│ │ ├── sql/ # SQL engine
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│ │ ├── sparql/ # SPARQL engine
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│ │ └── cypher/ # Cypher engine
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│ ├── index/ # Indexing
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│ │ ├── mod.rs
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│ │ ├── hnsw.rs # HNSW index
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│ │ └── btree.rs # B-Tree index
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│ ├── graph/ # Graph operations
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│ │ ├── mod.rs
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│ │ ├── traversal.rs
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│ │ └── algorithms.rs
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│ ├── learning/ # Self-learning
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│ │ ├── mod.rs
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│ │ └── reasoning_bank.rs
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│ ├── gnn/ # GNN layers
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│ │ ├── mod.rs
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│ │ ├── gcn.rs
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│ │ └── graphsage.rs
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│ └── bindings.rs # WASM bindings
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│
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├── tests/
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│ ├── integration/ # Integration tests
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│ ├── wasm/ # WASM-specific tests
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│ └── benchmarks/ # Performance benchmarks
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│
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├── examples/
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│ ├── browser/ # Browser examples
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│ ├── nodejs/ # Node.js examples
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│ └── deno/ # Deno examples
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│
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├── Cargo.toml # Rust package config
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└── README.md # Quick start guide
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```
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## Next Steps
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1. **Read Specification Documents** (Week 1-2)
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- Start with [01_SPECIFICATION.md](./01_SPECIFICATION.md)
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- Review [02_API_SPECIFICATION.md](./02_API_SPECIFICATION.md)
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- Understand [03_DATA_MODEL.md](./03_DATA_MODEL.md)
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2. **Study Pseudocode** (Week 3)
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- Review algorithms in [04_ALGORITHMS.md](./04_ALGORITHMS.md)
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- Understand query processing in [05_QUERY_PROCESSING.md](./05_QUERY_PROCESSING.md)
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3. **Review Architecture** (Week 4)
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- Study system design in [07_SYSTEM_ARCHITECTURE.md](./07_SYSTEM_ARCHITECTURE.md)
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- Plan implementation approach
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4. **Begin TDD Implementation** (Week 5+)
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- Follow [10_IMPLEMENTATION_GUIDE.md](./10_IMPLEMENTATION_GUIDE.md)
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- Write tests first, then implement
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## Resources
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- [DuckDB-WASM Architecture](https://duckdb.org/2021/10/29/duckdb-wasm)
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- [SQLite WASM Docs](https://sqlite.org/wasm)
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- [wasm-bindgen Guide](https://rustwasm.github.io/wasm-bindgen/)
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- [SPARC Methodology](https://github.com/ruvnet/claude-flow)
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---
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**Start Date**: 2025-12-09
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**Target Completion**: 2025-02-03 (8 weeks)
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**Status**: Phase 1 - Specification
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