Files
wifi-densepose/crates/rvlite/docs/03_IMPLEMENTATION_ROADMAP.md
ruv d803bfe2b1 Squashed 'vendor/ruvector/' content from commit b64c2172
git-subtree-dir: vendor/ruvector
git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
2026-02-28 14:39:40 -05:00

496 lines
11 KiB
Markdown

# RvLite Implementation Roadmap
## Accelerated 4-5 Week Timeline
Based on existing WASM infrastructure analysis, we can deliver **MUCH FASTER** than the original 8-week estimate!
---
## Phase 1: Foundation (Week 1)
### Goal: Basic database with vector operations
**Tasks**:
- [x] Analyze existing WASM implementations
- [ ] Create `rvlite` crate using `ruvector-wasm` as template
- [ ] Set up dependencies on `ruvector-core`
- [ ] Implement basic storage engine (in-memory tables)
- [ ] Add WASM bindings for vector operations
- [ ] Write unit tests
**Deliverables**:
```typescript
// Week 1 - Basic vector operations
const db = await RvLite.create();
await db.exec('CREATE TABLE docs (id INT, embedding VECTOR(384))');
await db.sql('INSERT INTO docs VALUES (1, $1)', [embedding]);
const results = await db.searchSimilar('docs', queryVector, { limit: 10 });
```
**Files to Create**:
```
crates/rvlite/
├── Cargo.toml # Copy from ruvector-wasm, modify
├── src/
│ ├── lib.rs # WASM entry point
│ ├── storage/
│ │ ├── mod.rs
│ │ ├── database.rs # In-memory database
│ │ └── table.rs # Table structure
│ ├── vector.rs # Vector operations (thin wrapper over ruvector-core)
│ └── error.rs # Copy from ruvector-wasm
└── tests/wasm.rs # Basic tests
```
---
## Phase 2: SQL Engine (Week 2)
### Goal: Complete SQL support with indexes
**Tasks**:
- [ ] Integrate SQL parser (sqlparser-rs)
- [ ] Implement SQL executor
- [ ] Add HNSW index support (use `micro-hnsw-wasm`)
- [ ] Add persistence layer (IndexedDB)
- [ ] SQL function wrappers
**Deliverables**:
```typescript
// Week 2 - SQL queries
await db.sql(`
CREATE TABLE documents (
id SERIAL PRIMARY KEY,
title TEXT,
content TEXT,
embedding VECTOR(768)
)
`);
await db.sql(`
CREATE INDEX idx_embedding
ON documents USING hnsw (embedding vector_cosine_ops)
`);
await db.sql(`
SELECT title, embedding <=> $1 AS distance
FROM documents
ORDER BY distance
LIMIT 10
`, [queryEmbedding]);
```
**Files to Create**:
```
src/query/
├── mod.rs
├── sql/
│ ├── mod.rs
│ ├── parser.rs # SQL parsing
│ ├── planner.rs # Query planning
│ └── executor.rs # Execution engine
├── index.rs # Index management
└── persist.rs # IndexedDB persistence
```
---
## Phase 3: Graph Engines (Week 3)
### Goal: SPARQL + Cypher support
**Tasks**:
- [ ] Extract SPARQL engine from `ruvector-postgres`
- [ ] Remove pgrx dependencies, adapt to RvLite storage
- [ ] Extract Cypher engine from `ruvector-postgres`
- [ ] Integrate triple store (SPO, POS, OSP indexes)
- [ ] Add graph traversal algorithms
**Deliverables**:
```typescript
// Week 3 - SPARQL
await db.loadRDF(`
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
:alice foaf:knows :bob .
`, 'turtle');
await db.sparql(`
SELECT ?name WHERE {
?person foaf:name ?name .
}
`);
// Week 3 - Cypher
await db.cypher(`
CREATE (a:Person {name: 'Alice'})-[:KNOWS]->(b:Person {name: 'Bob'})
`);
await db.cypher(`
MATCH (a:Person)-[:KNOWS]->(b:Person)
RETURN a.name, b.name
`);
```
**Files to Create**:
```
src/query/
├── sparql/
│ ├── mod.rs # From ruvector-postgres (adapted)
│ ├── parser.rs # Already exists
│ ├── executor.rs # Already exists (remove pgrx)
│ └── triple_store.rs # Already exists
└── cypher/
├── mod.rs # From ruvector-postgres (adapted)
├── parser.rs # Already exists
└── executor.rs # Already exists (remove pgrx)
```
---
## Phase 4: Advanced Features (Week 4)
### Goal: GNN, Learning, Hyperbolic embeddings
**Tasks**:
- [ ] Integrate `ruvector-gnn-wasm` (if exists, or create)
- [ ] Integrate `sona` for ReasoningBank
- [ ] Add hyperbolic embeddings module
- [ ] Performance optimization
- [ ] Size optimization (tree-shaking)
**Deliverables**:
```typescript
// Week 4 - GNN
const gcn = db.gnn.createLayer('gcn', { inputDim: 128, outputDim: 64 });
const embeddings = await db.gnn.computeEmbeddings('social_network', [gcn]);
// Week 4 - Learning
await db.learning.recordTrajectory({
state: [0.1, 0.5],
action: 2,
reward: 1.0
});
await db.learning.train({ algorithm: 'q-learning', iterations: 1000 });
// Week 4 - Hyperbolic
const poincare_dist = db.hyperbolic.distance([0.1, 0.2], [0.3, 0.4], 'poincare');
```
**Files to Create**:
```
src/
├── gnn/
│ ├── mod.rs # Wrapper over ruvector-gnn-wasm
│ ├── layers.rs
│ └── training.rs
├── learning/
│ ├── mod.rs # Wrapper over sona
│ ├── reasoning_bank.rs
│ └── algorithms.rs
└── hyperbolic/
├── mod.rs # From ruvector-postgres (adapted)
├── poincare.rs
└── lorentz.rs
```
---
## Phase 5: Polish & Release (Week 5)
### Goal: Production-ready release
**Tasks**:
- [ ] Comprehensive testing (unit, integration, E2E)
- [ ] Performance benchmarking
- [ ] Size optimization audit
- [ ] Documentation (README, API docs, examples)
- [ ] NPM package setup
- [ ] TypeScript type definitions
- [ ] CI/CD pipeline (GitHub Actions)
- [ ] Beta release
**Deliverables**:
-`@rvlite/wasm` on npm
- ✅ Complete documentation
- ✅ 10+ examples (browser, Node.js, Deno, Cloudflare Workers)
- ✅ Performance benchmarks
- ✅ Migration guide from ruvector-postgres
---
## Detailed Weekly Breakdown
### Week 1: Foundation
```
Monday:
- Create rvlite crate
- Set up Cargo.toml, dependencies
- Copy error handling from ruvector-wasm
Tuesday:
- Implement Database struct
- Add Table struct
- Basic in-memory storage
Wednesday:
- WASM bindings (wasm-bindgen)
- Vector operations wrapper
- JavaScript API design
Thursday:
- Unit tests (wasm-bindgen-test)
- Basic examples
- Documentation
Friday:
- Integration testing
- Fix issues
- Week 1 demo
```
### Week 2: SQL Engine
```
Monday:
- Integrate sqlparser-rs
- Parse CREATE TABLE, INSERT
Tuesday:
- SQL executor
- Query planning
- Vector operators (<->, <=>, <#>)
Wednesday:
- HNSW index integration (micro-hnsw-wasm)
- CREATE INDEX support
- Index maintenance
Thursday:
- IndexedDB persistence
- Save/load database
- Transaction basics
Friday:
- SQL tests
- Performance tuning
- Week 2 demo
```
### Week 3: Graph Engines
```
Monday-Tuesday:
- Extract SPARQL from ruvector-postgres
- Remove pgrx dependencies
- Adapt to RvLite storage
- Triple store indexes
Wednesday-Thursday:
- Extract Cypher from ruvector-postgres
- Graph pattern matching
- Vector-enhanced queries
Friday:
- Graph tests
- SPARQL W3C test suite
- Week 3 demo
```
### Week 4: Advanced Features
```
Monday:
- Integrate GNN layers
- Node embeddings
- Graph classification
Tuesday:
- Integrate sona (ReasoningBank)
- Trajectory recording
- Q-learning implementation
Wednesday:
- Hyperbolic embeddings
- Poincaré distance
- Hyperbolic neural layers
Thursday:
- Performance optimization
- Bundle size reduction
- SIMD optimization
Friday:
- Feature completeness testing
- Week 4 demo
```
### Week 5: Polish & Release
```
Monday:
- Comprehensive test suite
- Edge case testing
- Browser compatibility testing
Tuesday:
- Performance benchmarks
- Size audit
- Optimization pass
Wednesday:
- Documentation
- API reference
- Tutorial examples
Thursday:
- NPM package setup
- TypeScript definitions
- CI/CD pipeline
Friday:
- Beta release
- Blog post
- Community announcement
```
---
## Success Metrics
### Week 1
- [ ] Basic database operations work
- [ ] Vector search returns correct results
- [ ] Bundle size < 1MB
### Week 2
- [ ] SQL queries execute correctly
- [ ] HNSW index recall > 95%
- [ ] Persistence save/load works
- [ ] Bundle size < 2MB
### Week 3
- [ ] SPARQL passes W3C tests
- [ ] Cypher queries work
- [ ] Graph traversal correct
- [ ] Bundle size < 3MB
### Week 4
- [ ] GNN layers produce correct embeddings
- [ ] Learning algorithms converge
- [ ] Hyperbolic distances accurate
- [ ] Bundle size < 4MB (gzipped < 2MB)
### Week 5
- [ ] Test coverage > 90%
- [ ] All examples working
- [ ] Documentation complete
- [ ] Performance benchmarks green
---
## Risk Mitigation
### High Priority Risks
**Risk**: SQL parser too large
- **Mitigation**: Use lightweight parser or custom implementation
- **Fallback**: Phase 1: Programmatic API only, add SQL in v1.1
**Risk**: WASM bundle > 5MB
- **Mitigation**: Aggressive feature gating, tree-shaking
- **Fallback**: Ship "lite" and "full" versions
**Risk**: Query engines too complex to extract
- **Mitigation**: Start with simple subset, iterate
- **Fallback**: Defer advanced queries to v1.1
### Medium Priority Risks
**Risk**: Performance slower than expected
- **Mitigation**: WASM SIMD, profiling, optimization
- **Fallback**: Document performance characteristics, set expectations
**Risk**: Browser compatibility issues
- **Mitigation**: Polyfills, feature detection
- **Fallback**: Document minimum browser versions
---
## Dependencies Between Tasks
```mermaid
graph TD
A[Week 1: Foundation] --> B[Week 2: SQL]
B --> C[Week 3: Graph]
C --> D[Week 4: Advanced]
D --> E[Week 5: Polish]
A --> F[Storage Engine]
F --> B
F --> C
B --> G[Index Support]
G --> C
G --> D
C --> H[Triple Store]
C --> I[Graph Traversal]
H --> D
I --> D
```
---
## Staffing
**Single Developer** (full-time)
- Week 1-2: Core implementation (40 hours/week)
- Week 3-4: Feature development (40 hours/week)
- Week 5: Polish & release (30 hours/week)
**Community Contributors** (optional)
- Documentation
- Examples
- Testing
- Bug fixes
---
## Deliverables Checklist
### Code
- [ ] `crates/rvlite/` - Rust crate
- [ ] `npm/packages/rvlite/` - NPM package
- [ ] `crates/rvlite/pkg/` - WASM build artifacts
### Documentation
- [ ] README.md - Quick start
- [ ] API.md - Complete API reference
- [ ] TUTORIAL.md - Step-by-step guide
- [ ] MIGRATION.md - From ruvector-postgres
- [ ] PERFORMANCE.md - Benchmarks
### Examples
- [ ] `examples/browser/` - Browser demo
- [ ] `examples/nodejs/` - Node.js example
- [ ] `examples/deno/` - Deno example
- [ ] `examples/cloudflare-worker/` - Edge worker
- [ ] `examples/react/` - React integration
### Tests
- [ ] Unit tests (Rust)
- [ ] Integration tests (Rust)
- [ ] E2E tests (TypeScript)
- [ ] Browser tests (wasm-bindgen-test)
- [ ] Performance benchmarks
### Infrastructure
- [ ] GitHub Actions CI/CD
- [ ] NPM publish workflow
- [ ] Automated releases
- [ ] Documentation site (docs.rs)
---
**Next Steps**: Begin Week 1 implementation!
**Start Date**: 2025-12-09
**Target Beta**: 2025-01-13 (5 weeks)
**Target v1.0**: 2025-01-27 (7 weeks with buffer)