# Existing WASM Implementations Analysis

## Summary

RuVector already has **extensive WASM implementations** we can learn from and potentially reuse for RvLite!

---

## 1. Existing WASM Crates

### 1.1 ruvector-wasm (Main WASM Package)

**Location**: `/workspaces/ruvector/crates/ruvector-wasm/`

**Features**:
- ✅ Full VectorDB API (insert, search, delete, batch)
- ✅ SIMD acceleration (opt-in feature)
- ✅ IndexedDB persistence
- ✅ Web Workers support
- ✅ Zero-copy transfers
- ✅ Security limits (MAX_VECTOR_DIMENSIONS: 65536)

**Key Dependencies**:
```toml
ruvector-core = { path = "../ruvector-core", features = ["memory-only"] }
wasm-bindgen = "0.2"
wasm-bindgen-futures = "0.4"
js-sys = "0.3"
web-sys = { features = ["IdbDatabase", "IdbObjectStore", ...] }
serde-wasm-bindgen = "0.6"
console_error_panic_hook = "0.1"
tracing-wasm = "0.2"
```

**Release Profile** (Size Optimization):
```toml
[profile.release]
opt-level = "z"      # Optimize for size
lto = true           # Link-time optimization
codegen-units = 1    # Single codegen unit
panic = "abort"      # No unwinding
```

**Architecture Lessons**:
```rust
// Security: Validate dimensions
const MAX_VECTOR_DIMENSIONS: usize = 65536;

// Error handling across WASM boundary
#[derive(Serialize, Deserialize)]
pub struct WasmError {
    pub message: String,
    pub kind: String,
}

// WASM-friendly API
#[wasm_bindgen]
impl JsVectorEntry {
    #[wasm_bindgen(constructor)]
    pub fn new(
        vector: Float32Array,
        id: Option<String>,
        metadata: Option<JsValue>,
    ) -> Result<JsVectorEntry, JsValue> {
        // ...
    }
}
```

### 1.2 sona (Self-Optimizing Neural Architecture)

**Location**: `/workspaces/ruvector/crates/sona/`

**Features**:
- ✅ Runtime-adaptive learning
- ✅ Two-tier LoRA
- ✅ EWC++ (Elastic Weight Consolidation)
- ✅ ReasoningBank integration
- ✅ Dual target support: WASM + NAPI (Node.js native)

**Feature Flags**:
```toml
[features]
default = ["serde-support"]
wasm = ["wasm-bindgen", "wasm-bindgen-futures", "console_error_panic_hook", ...]
napi = ["dep:napi", "dep:napi-derive", "serde-support"]
serde-support = ["serde", "serde_json"]
```

**Key Insight**: Supports **both WASM and native Node.js** via feature flags!

### 1.3 micro-hnsw-wasm (Ultra-Lightweight HNSW)

**Location**: `/workspaces/ruvector/crates/micro-hnsw-wasm/`

**Features**:
- ✅ **Only 11.8KB WASM** (incredibly small!)
- ✅ Neuromorphic HNSW with spiking neural networks
- ✅ LIF neurons
- ✅ STDP learning
- ✅ Winner-take-all
- ✅ Dendritic computation
- ✅ No dependencies (`[dependencies]` section is empty!)

**Size Optimization** (Maximum):
```toml
[profile.release]
opt-level = "z"
lto = true
codegen-units = 1
panic = "abort"
strip = true          # Strip debug symbols
```

**Key Insight**: Proof that aggressive optimization can achieve sub-12KB WASM!

### 1.4 Other WASM Crates

| Crate | Purpose | Status |
|-------|---------|--------|
| `ruvector-attention-wasm` | Attention mechanisms | Built (`pkg/ruvector_attention_wasm_bg.wasm`) |
| `ruvector-gnn-wasm` | Graph Neural Networks | Exists |
| `ruvector-graph-wasm` | Graph operations | Exists |
| `ruvector-tiny-dancer-wasm` | Tiny Dancer routing | Exists |
| `ruvector-router-wasm` | Router | Exists |

---

## 2. Existing Examples

### 2.1 WASM Examples Directory

**Location**: `/workspaces/ruvector/examples/wasm/`

**Structure**:
```
examples/wasm/
└── ios/
    ├── dist/
    │   └── recommendation.wasm
    └── swift/
        └── Resources/
            └── recommendation.wasm
```

**iOS Integration**: Shows how to use WASM in Swift/iOS apps!

### 2.2 Other Examples

- `examples/scipix/wasm_demo.html` - SciFi visualization demo
- `npm/tests/unit/wasm.test.js` - WASM unit tests
- `docs/guides/wasm-api.md` - WASM API documentation
- `docs/guides/wasm-build-guide.md` - Build instructions

---

## 3. Key Learnings for RvLite

### 3.1 Architecture Patterns to Adopt

#### ✅ Use ruvector-core as Foundation
```toml
# RvLite can depend on existing ruvector-core
[dependencies]
ruvector-core = { path = "../ruvector-core", features = ["memory-only"] }
```

**Benefit**: Reuse battle-tested vector operations, SIMD, quantization.

#### ✅ Security-First API Design
```rust
// Validate inputs before allocation
const MAX_VECTOR_DIMENSIONS: usize = 65536;
const MAX_BATCH_SIZE: usize = 10000;

if vec_len > MAX_VECTOR_DIMENSIONS {
    return Err("Vector too large");
}
```

#### ✅ Error Handling Pattern
```rust
#[derive(Serialize, Deserialize)]
pub struct WasmError {
    pub message: String,
    pub kind: String,
}

impl From<WasmError> for JsValue {
    // Convert to JS-friendly error object
}
```

#### ✅ WASM-Friendly Types
```rust
// Use wasm-bindgen compatible types
#[wasm_bindgen]
pub struct Database {
    inner: Arc<Mutex<CoreDatabase>>,
}

#[wasm_bindgen]
impl Database {
    #[wasm_bindgen(constructor)]
    pub fn new(options: JsValue) -> Result<Database, JsValue> {
        let opts: DbOptions = from_value(options)?;
        // ...
    }

    pub async fn search(
        &self,
        query: Float32Array,
        limit: usize,
    ) -> Result<JsValue, JsValue> {
        // Return JsValue (serialized results)
    }
}
```

### 3.2 Build Configuration Best Practices

#### ✅ Size Optimization
```toml
[profile.release]
opt-level = "z"        # Optimize for size (not speed)
lto = true             # Link-time optimization
codegen-units = 1      # Single codegen unit (better optimization)
panic = "abort"        # No unwinding (saves space)
strip = true           # Strip debug symbols

[profile.release.package."*"]
opt-level = "z"        # Apply to all dependencies

[package.metadata.wasm-pack.profile.release]
wasm-opt = false       # Disable wasm-opt (manual optimization)
```

#### ✅ WASM-Specific Dependencies
```toml
# Always use wasm_js feature for getrandom
[target.'cfg(target_arch = "wasm32")'.dependencies]
getrandom = { version = "0.2", features = ["wasm_js"] }
```

### 3.3 Feature Flags Strategy

```toml
[features]
default = []
simd = ["ruvector-core/simd"]              # WASM SIMD
sql = ["dep:sql-parser"]                    # SQL engine
sparql = ["dep:sparql-parser"]              # SPARQL engine
cypher = ["dep:cypher-parser"]              # Cypher engine
gnn = ["dep:ruvector-gnn-wasm"]             # GNN layers
learning = ["dep:sona"]                     # ReasoningBank
graph = ["dep:ruvector-graph-wasm"]         # Graph operations
hyperbolic = ["dep:hyperbolic-embeddings"]  # Hyperbolic spaces

# Feature bundles
full = ["sql", "sparql", "cypher", "gnn", "learning", "graph", "hyperbolic"]
lite = ["sql"]  # Minimal bundle
```

**Benefit**: Users can opt-in to features, reducing bundle size.

### 3.4 Persistence Strategy

**From ruvector-wasm**:
```rust
// IndexedDB persistence
async fn save_to_indexeddb(&self) -> Result<(), JsValue> {
    let window = web_sys::window().unwrap();
    let idb: IdbFactory = window.indexed_db()?.unwrap();

    // Open database
    let open_request = idb.open_with_u32("rvlite", 1)?;

    // ... store data
}
```

**RvLite Should Support**:
1. **IndexedDB** (browser) - 50MB+ quota
2. **OPFS** (Origin Private File System) - Larger quota
3. **File System** (Node.js) - Unlimited

### 3.5 Dual-Target Strategy (from sona)

**Support both WASM and Node.js native**:
```toml
[features]
wasm = ["wasm-bindgen", ...]
napi = ["dep:napi", "dep:napi-derive"]
```

**Benefit**:
- Browser: Use WASM
- Node.js: Use native addon (faster)

---

## 4. What We Can Reuse

### 4.1 Direct Dependencies

✅ **ruvector-core** - Vector types, distances, SIMD, quantization
✅ **ruvector-gnn-wasm** - GNN layers (if exists)
✅ **ruvector-graph-wasm** - Graph operations (if exists)
✅ **sona** - ReasoningBank, adaptive learning
✅ **micro-hnsw-wasm** - Ultra-lightweight HNSW

### 4.2 Patterns & Code

✅ **Error handling** - WasmError pattern from ruvector-wasm
✅ **IndexedDB persistence** - From ruvector-wasm
✅ **Build configuration** - Cargo.toml profiles
✅ **Security validation** - Input limits, bounds checking
✅ **TypeScript types** - From existing packages

### 4.3 Testing Infrastructure

✅ **wasm-bindgen-test** - Browser test runner
✅ **Unit tests** - From npm/tests/unit/wasm.test.js
✅ **Benchmarks** - From node_modules/agentdb wasm benchmarks

---

## 5. RvLite Differentiation

### What Makes RvLite Different?

| Feature | Existing WASM Crates | RvLite |
|---------|---------------------|---------|
| **Scope** | Vector operations only | **Complete database** (SQL/SPARQL/Cypher) |
| **Query Languages** | Programmatic API | **3 query languages** |
| **Graph Support** | Limited | **Full graph DB** (Cypher, SPARQL) |
| **Self-Learning** | sona (separate) | **Built-in ReasoningBank** |
| **Standalone** | Needs backend | **Fully standalone** |
| **Storage Engine** | Basic persistence | **ACID transactions** |

**RvLite = All existing WASM crates + Standalone DB + Query engines**

---

## 6. Recommended Architecture for RvLite

### 6.1 Layered Approach

```
┌─────────────────────────────────────────┐
│  RvLite (crates/rvlite/)               │
│  - SQL/SPARQL/Cypher engines           │
│  - Storage engine                       │
│  - Transaction manager                  │
│  - WASM bindings                        │
└───────────────┬─────────────────────────┘
                │ depends on
┌───────────────▼─────────────────────────┐
│  Existing WASM Crates                   │
│  - ruvector-core (vectors)              │
│  - sona (learning)                      │
│  - micro-hnsw-wasm (indexing)           │
│  - ruvector-gnn-wasm (GNN)              │
│  - ruvector-graph-wasm (graph)          │
└─────────────────────────────────────────┘
```

### 6.2 File Structure

```
crates/rvlite/
├── Cargo.toml          # Similar to ruvector-wasm
├── src/
│   ├── lib.rs          # WASM bindings
│   ├── storage/        # NEW: Storage engine
│   ├── query/          # NEW: Query engines
│   │   ├── sql.rs
│   │   ├── sparql.rs
│   │   └── cypher.rs
│   ├── transaction.rs  # NEW: ACID transactions
│   └── error.rs        # Copy from ruvector-wasm
├── tests/
│   └── wasm.rs         # Similar to ruvector-wasm/tests/wasm.rs
└── pkg/                # Built by wasm-pack
```

### 6.3 Dependency Strategy

```toml
[dependencies]
# Reuse existing crates
ruvector-core = { path = "../ruvector-core", features = ["memory-only"] }
ruvector-gnn-wasm = { path = "../ruvector-gnn-wasm", optional = true }
ruvector-graph-wasm = { path = "../ruvector-graph-wasm", optional = true }
sona = { path = "../sona", features = ["wasm"], optional = true }

# New dependencies
sql-parser = { version = "0.9", optional = true }
sparql-parser = { version = "0.3", optional = true }  # Or custom
cypher-parser = { version = "0.1", optional = true }  # Or custom

# Standard WASM stack (from ruvector-wasm)
wasm-bindgen = "0.2"
wasm-bindgen-futures = "0.4"
js-sys = "0.3"
web-sys = { version = "0.3", features = ["IdbDatabase", ...] }
serde-wasm-bindgen = "0.6"
console_error_panic_hook = "0.1"
```

---

## 7. Action Items

### Immediate Next Steps

1. **✅ Review existing implementations** (DONE - this document)
2. **Create RvLite crate** using ruvector-wasm as template
3. **Add dependencies** on existing WASM crates
4. **Extract query engines** from ruvector-postgres (remove pgrx)
5. **Build storage engine** using patterns from ruvector-wasm
6. **Implement WASM bindings** following ruvector-wasm patterns
7. **Test with existing WASM test infrastructure**

### Quick Win: Minimal Viable Product

**Week 1**: Create ruvector-wasm-lite
```rust
// Just vector operations + SQL
#[dependencies]
ruvector-core = { ... }
sql-parser = { ... }
```

**Week 2**: Add SPARQL
```rust
// Reuse ruvector-postgres/src/graph/sparql (remove pgrx)
```

**Week 3**: Add Cypher + GNN
```rust
ruvector-gnn-wasm = { ... }
```

**Week 4**: Polish and optimize
- Size optimization
- Performance tuning
- Documentation

---

## 8. Size Budget Analysis

### Existing Sizes

- **micro-hnsw-wasm**: 11.8KB (minimal HNSW)
- **ruvector_wasm_bg.wasm**: ~500KB (full vector ops)
- **sona_bg.wasm**: ~300KB (learning system)

### RvLite Target

| Component | Estimated Size | Cumulative |
|-----------|---------------|------------|
| ruvector-core | ~500KB | 500KB |
| SQL parser | ~200KB | 700KB |
| SPARQL parser | ~300KB | 1MB |
| Cypher parser | ~200KB | 1.2MB |
| sona (learning) | ~300KB | 1.5MB |
| micro-hnsw | ~12KB | 1.512MB |
| Storage engine | ~200KB | 1.7MB |
| **Total (gzipped)** | | **~2-3MB** |

**Verdict**: Much smaller than original 5-6MB estimate! 🎉

---

## 9. Conclusion

**We have a HUGE head start!**

- ✅ Battle-tested WASM infrastructure
- ✅ Security patterns established
- ✅ Build optimization figured out
- ✅ Multiple working examples
- ✅ Reusable components (ruvector-core, sona, micro-hnsw)

**RvLite can be built MUCH FASTER** (4-5 weeks instead of 8) by:
1. Reusing ruvector-wasm patterns
2. Depending on existing WASM crates
3. Extracting query engines from ruvector-postgres
4. Following established build configs

**Next**: Continue SPARC documentation with this context!
