Squashed 'vendor/ruvector/' content from commit b64c2172
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
This commit is contained in:
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crates/rvlite/docs/04_REVISED_ARCHITECTURE_MAX_REUSE.md
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# RvLite Revised Architecture - Maximum WASM Reuse
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## 🎯 Critical Discovery
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After thorough review, **RvLite can be built as a THIN ORCHESTRATION LAYER** over existing WASM crates!
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||||
|
||||
---
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## ✅ What Already Exists (WASM-Ready)
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||||
### 1. Vector Operations - **100% Complete**
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**Crate**: `ruvector-wasm` ✅
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- Vector types (vector, halfvec, binaryvec, sparsevec)
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- Distance metrics (L2, cosine, inner product, etc.)
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- HNSW indexing
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- Quantization
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- IndexedDB persistence
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- SIMD support
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**Reuse Strategy**: **Direct dependency**
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```toml
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ruvector-wasm = { path = "../ruvector-wasm" }
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```
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### 2. Graph Database + Cypher - **100% Complete**
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**Crates**:
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- `ruvector-graph` ✅ (Core graph DB with Cypher parser/executor)
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- `ruvector-graph-wasm` ✅ (WASM bindings)
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**What's Included**:
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- ✅ Cypher parser (`src/cypher/parser.rs`)
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- ✅ Cypher executor (`src/executor/`)
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- ✅ Graph storage
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- ✅ Neo4j compatibility
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- ✅ ACID transactions
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- ✅ Property graphs
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||||
- ✅ Hypergraphs
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||||
**Reuse Strategy**: **Direct dependency**
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```toml
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ruvector-graph-wasm = { path = "../ruvector-graph-wasm" }
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```
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### 3. Graph Neural Networks - **100% Complete**
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**Crates**:
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- `ruvector-gnn` ✅ (GNN layers)
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- `ruvector-gnn-wasm` ✅ (WASM bindings)
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**What's Included**:
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- ✅ GCN, GraphSage, GAT, GIN
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- ✅ Node embeddings
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- ✅ Graph classification
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- ✅ Tensor compression
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||||
**Reuse Strategy**: **Direct dependency**
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```toml
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ruvector-gnn-wasm = { path = "../ruvector-gnn-wasm" }
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```
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### 4. Self-Learning (ReasoningBank) - **100% Complete**
|
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**Crate**: `sona` ✅
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|
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**What's Included**:
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- ✅ Micro-LoRA (instant learning)
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- ✅ Base-LoRA (background learning)
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- ✅ EWC++ (prevent catastrophic forgetting)
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- ✅ ReasoningBank (pattern extraction)
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- ✅ Trajectory tracking
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- ✅ WASM support (feature flag)
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**Reuse Strategy**: **Direct dependency**
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```toml
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sona = { path = "../sona", features = ["wasm"] }
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```
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### 5. Ultra-Lightweight HNSW - **100% Complete**
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**Crate**: `micro-hnsw-wasm` ✅
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|
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**What's Included**:
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- ✅ Neuromorphic HNSW (11.8KB!)
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- ✅ Spiking neural networks
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- ✅ Ultra-optimized
|
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|
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**Reuse Strategy**: **Optional for size-constrained builds**
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```toml
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micro-hnsw-wasm = { path = "../micro-hnsw-wasm", optional = true }
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```
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|
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### 6. Attention Mechanisms - **100% Complete**
|
||||
**Crate**: `ruvector-attention-wasm` ✅
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**Reuse Strategy**: **Optional feature**
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```toml
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ruvector-attention-wasm = { path = "../ruvector-attention-wasm", optional = true }
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```
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|
||||
---
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## ❌ What's Missing (Need to Create)
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### 1. SQL Query Engine - **NOT IMPLEMENTED**
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**Status**: Need to build
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**Options**:
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- **Option A**: Use `sqlparser-rs` (~200KB)
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- **Option B**: Build lightweight SQL subset parser (~50KB)
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- **Option C**: Skip SQL, use programmatic API only
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**Recommendation**: Option A (full SQL compatibility)
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### 2. SPARQL Engine - **PARTIALLY EXISTS**
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**Status**: Exists in `ruvector-postgres` but needs extraction
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**Location**: `crates/ruvector-postgres/src/graph/sparql/`
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**What Exists**:
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- ✅ SPARQL 1.1 parser (`parser.rs`)
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- ✅ SPARQL executor (`executor.rs`)
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- ✅ Triple store (`triple_store.rs`)
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||||
- ✅ Result formatting (`results.rs`)
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||||
|
||||
**Issues**:
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||||
- ❌ Uses `pgrx` (PostgreSQL extension framework)
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- ❌ Tied to PostgreSQL storage
|
||||
|
||||
**Extraction Strategy**:
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||||
1. Copy `sparql/` module from ruvector-postgres
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2. Remove `pgrx` dependencies
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3. Replace PostgreSQL storage with RvLite storage
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4. Wrap in WASM bindings
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||||
**Effort**: 2-3 days
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||||
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||||
### 3. Storage Engine - **PARTIALLY EXISTS**
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||||
**Status**: Each crate has its own storage
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|
||||
**What Exists**:
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- `ruvector-wasm` → In-memory + IndexedDB
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- `ruvector-graph` → Graph storage
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- Need: **Unified storage layer**
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|
||||
**Recommendation**: Create thin adapter layer that routes:
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- Vector data → `ruvector-wasm`
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- Graph data → `ruvector-graph-wasm`
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- Triples → SPARQL triple store (extracted)
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|
||||
**Effort**: 1-2 days
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||||
|
||||
### 4. Orchestration Layer - **NOT IMPLEMENTED**
|
||||
**Status**: Need to create
|
||||
|
||||
**Purpose**: Unified API that routes queries to appropriate engines
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||||
**Structure**:
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||||
```rust
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pub struct RvLite {
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vector_db: Arc<VectorDB>, // From ruvector-wasm
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graph_db: Arc<GraphDB>, // From ruvector-graph-wasm
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gnn_engine: Arc<GnnEngine>, // From ruvector-gnn-wasm
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learning_engine: Arc<SonaEngine>, // From sona
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sparql_executor: Arc<SparqlExecutor>, // Extracted from postgres
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sql_executor: Arc<SqlExecutor>, // NEW
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}
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impl RvLite {
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pub async fn query(&self, query: &str) -> Result<QueryResult> {
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// Route to appropriate engine based on query type
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if query.trim_start().starts_with("SELECT") {
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self.sql_executor.execute(query).await
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} else if query.trim_start().starts_with("MATCH") {
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||||
self.graph_db.cypher(query).await
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} else if query.trim_start().starts_with("PREFIX") {
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self.sparql_executor.execute(query).await
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}
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||||
}
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||||
}
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||||
```
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||||
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||||
**Effort**: 2-3 days
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||||
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||||
---
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||||
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||||
## 📊 Revised Implementation Effort
|
||||
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||||
### Total Estimated Effort
|
||||
|
||||
| Component | Status | Effort | Reuse % |
|
||||
|-----------|--------|--------|---------|
|
||||
| Vector operations | ✅ Exists | 0 days | 100% |
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||||
| Cypher/Graph DB | ✅ Exists | 0 days | 100% |
|
||||
| GNN layers | ✅ Exists | 0 days | 100% |
|
||||
| ReasoningBank | ✅ Exists | 0 days | 100% |
|
||||
| HNSW indexing | ✅ Exists | 0 days | 100% |
|
||||
| Attention | ✅ Exists | 0 days | 100% |
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||||
| **SQL engine** | ❌ Missing | **3-4 days** | 0% |
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||||
| **SPARQL extraction** | ⚠️ Partial | **2-3 days** | 80% |
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||||
| **Storage adapter** | ⚠️ Partial | **1-2 days** | 60% |
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||||
| **Orchestration layer** | ❌ Missing | **2-3 days** | 0% |
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||||
| **WASM bindings** | ⚠️ Partial | **2-3 days** | 50% |
|
||||
| **Testing** | ❌ Missing | **2-3 days** | 0% |
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||||
| **Documentation** | ❌ Missing | **2-3 days** | 0% |
|
||||
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||||
**Total New Work**: **14-21 days** (2-3 weeks)
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||||
**Reuse Rate**: **~70%**
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||||
|
||||
---
|
||||
|
||||
## 🏗️ Optimized RvLite Architecture
|
||||
|
||||
### Minimal Dependency Graph
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────┐
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||||
│ RvLite (NEW - Orchestration Only) │
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||||
│ ├─ SQL parser & executor (NEW) │
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||||
│ ├─ SPARQL executor (extracted) │
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||||
│ ├─ Storage adapter (NEW) │
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│ └─ Unified WASM API (NEW) │
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||||
└──────────────┬──────────────────────────┘
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│ depends on (100% reuse)
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▼
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┌──────────────────────────────────────────┐
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│ Existing WASM Crates │
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||||
├──────────────────────────────────────────┤
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||||
│ • ruvector-wasm (vectors) │
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│ • ruvector-graph-wasm (Cypher) │
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│ • ruvector-gnn-wasm (GNN) │
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||||
│ • sona (learning) │
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||||
│ • micro-hnsw-wasm (optional) │
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||||
│ • ruvector-attention-wasm (optional) │
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||||
└──────────────────────────────────────────┘
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||||
```
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||||
|
||||
### Simplified File Structure
|
||||
|
||||
```
|
||||
crates/rvlite/
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||||
├── Cargo.toml # Depends on existing WASM crates
|
||||
├── src/
|
||||
│ ├── lib.rs # WASM entry point, orchestration
|
||||
│ ├── storage/
|
||||
│ │ └── adapter.rs # Routes to existing storage backends
|
||||
│ ├── query/
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||||
│ │ ├── sql/ # NEW: SQL engine
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||||
│ │ │ ├── parser.rs
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||||
│ │ │ └── executor.rs
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│ │ └── sparql/ # EXTRACTED from ruvector-postgres
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||||
│ │ ├── mod.rs # (remove pgrx deps)
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||||
│ │ ├── parser.rs
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||||
│ │ ├── executor.rs
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||||
│ │ └── triple_store.rs
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||||
│ ├── api.rs # Unified TypeScript API
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||||
│ └── error.rs # Error handling
|
||||
├── tests/
|
||||
│ ├── sql_tests.rs
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||||
│ ├── sparql_tests.rs
|
||||
│ └── integration_tests.rs
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||||
└── examples/
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||||
├── browser.html
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||||
└── nodejs.ts
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||||
```
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||||
---
|
||||
|
||||
## 🚀 Ultra-Fast 2-Week Implementation Plan
|
||||
|
||||
### Week 1: Core Integration
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||||
|
||||
**Monday** (Day 1):
|
||||
- Create `rvlite` crate
|
||||
- Set up `Cargo.toml` with all existing WASM crate dependencies
|
||||
- Basic orchestration layer structure
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||||
|
||||
**Tuesday** (Day 2):
|
||||
- Storage adapter implementation
|
||||
- Route vector ops to `ruvector-wasm`
|
||||
- Route graph ops to `ruvector-graph-wasm`
|
||||
|
||||
**Wednesday** (Day 3):
|
||||
- Extract SPARQL from `ruvector-postgres`
|
||||
- Remove `pgrx` dependencies
|
||||
- Adapt to RvLite storage
|
||||
|
||||
**Thursday** (Day 4):
|
||||
- Integrate `sona` for learning
|
||||
- Integrate `ruvector-gnn-wasm` for GNN
|
||||
- Test basic operations
|
||||
|
||||
**Friday** (Day 5):
|
||||
- SQL parser integration (sqlparser-rs)
|
||||
- Basic SQL executor
|
||||
- Week 1 demo
|
||||
|
||||
### Week 2: SQL Engine + Polish
|
||||
|
||||
**Monday** (Day 6):
|
||||
- Complete SQL executor
|
||||
- Vector operators in SQL (<->, <=>, <#>)
|
||||
- CREATE TABLE, INSERT, SELECT
|
||||
|
||||
**Tuesday** (Day 7):
|
||||
- SQL query planning
|
||||
- Index support
|
||||
- JOIN operations (basic)
|
||||
|
||||
**Wednesday** (Day 8):
|
||||
- WASM bindings for unified API
|
||||
- TypeScript type definitions
|
||||
- JavaScript examples
|
||||
|
||||
**Thursday** (Day 9):
|
||||
- Testing (unit, integration)
|
||||
- Performance benchmarking
|
||||
- Size optimization
|
||||
|
||||
**Friday** (Day 10):
|
||||
- Documentation
|
||||
- Examples (browser, Node.js, Deno)
|
||||
- Beta release preparation
|
||||
|
||||
---
|
||||
|
||||
## 📦 Optimized Cargo.toml
|
||||
|
||||
```toml
|
||||
[package]
|
||||
name = "rvlite"
|
||||
version = "0.1.0"
|
||||
edition = "2021"
|
||||
description = "Standalone vector database with SQL, SPARQL, and Cypher - powered by RuVector WASM"
|
||||
|
||||
[lib]
|
||||
crate-type = ["cdylib", "rlib"]
|
||||
|
||||
[dependencies]
|
||||
# ===== 100% REUSE - Existing WASM Crates =====
|
||||
ruvector-wasm = { path = "../ruvector-wasm" }
|
||||
ruvector-graph-wasm = { path = "../ruvector-graph-wasm" }
|
||||
ruvector-gnn-wasm = { path = "../ruvector-gnn-wasm" }
|
||||
sona = { path = "../sona", features = ["wasm"] }
|
||||
|
||||
# Optional features
|
||||
micro-hnsw-wasm = { path = "../micro-hnsw-wasm", optional = true }
|
||||
ruvector-attention-wasm = { path = "../ruvector-attention-wasm", optional = true }
|
||||
|
||||
# ===== NEW - SQL Engine =====
|
||||
sqlparser = "0.49" # ~200KB
|
||||
|
||||
# ===== WASM Bindings (same as existing crates) =====
|
||||
wasm-bindgen = { workspace = true }
|
||||
wasm-bindgen-futures = { workspace = true }
|
||||
js-sys = { workspace = true }
|
||||
web-sys = { workspace = true, features = ["console", "IdbDatabase", "Window"] }
|
||||
serde-wasm-bindgen = "0.6"
|
||||
console_error_panic_hook = "0.1"
|
||||
|
||||
# ===== Standard Dependencies =====
|
||||
serde = { workspace = true }
|
||||
serde_json = { workspace = true }
|
||||
thiserror = { workspace = true }
|
||||
anyhow = { workspace = true }
|
||||
parking_lot = { workspace = true }
|
||||
dashmap = { workspace = true }
|
||||
|
||||
[dev-dependencies]
|
||||
wasm-bindgen-test = "0.3"
|
||||
criterion = "0.5"
|
||||
|
||||
[features]
|
||||
default = ["sql", "sparql", "cypher"]
|
||||
sql = []
|
||||
sparql = []
|
||||
cypher = [] # Always included via ruvector-graph-wasm
|
||||
gnn = [] # Always included via ruvector-gnn-wasm
|
||||
learning = [] # Always included via sona
|
||||
attention = ["dep:ruvector-attention-wasm"]
|
||||
micro-hnsw = ["dep:micro-hnsw-wasm"]
|
||||
|
||||
full = ["sql", "sparql", "cypher", "gnn", "learning", "attention"]
|
||||
lite = ["sql"] # Just SQL + vectors
|
||||
|
||||
[profile.release]
|
||||
opt-level = "z"
|
||||
lto = true
|
||||
codegen-units = 1
|
||||
panic = "abort"
|
||||
|
||||
[profile.release.package."*"]
|
||||
opt-level = "z"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 💡 Key Implementation Insights
|
||||
|
||||
### 1. RvLite = Thin Orchestration Layer
|
||||
|
||||
**NOT**: Reimplementing everything
|
||||
**YES**: Composing existing WASM crates
|
||||
|
||||
```rust
|
||||
// RvLite doesn't reimplement - it orchestrates!
|
||||
#[wasm_bindgen]
|
||||
pub struct RvLite {
|
||||
// Delegate to existing implementations
|
||||
vectors: VectorDB, // From ruvector-wasm
|
||||
graph: GraphDB, // From ruvector-graph-wasm
|
||||
gnn: GnnEngine, // From ruvector-gnn-wasm
|
||||
learning: SonaEngine, // From sona
|
||||
|
||||
// Only NEW components
|
||||
sql: SqlExecutor, // NEW
|
||||
sparql: SparqlExecutor, // Extracted
|
||||
}
|
||||
```
|
||||
|
||||
### 2. Unified API Pattern
|
||||
|
||||
```typescript
|
||||
// Single entry point
|
||||
const db = await RvLite.create();
|
||||
|
||||
// Automatically routes to correct engine
|
||||
await db.query(`SELECT * FROM docs ORDER BY embedding <=> $1`); // → SQL
|
||||
await db.query(`MATCH (a)-[:KNOWS]->(b) RETURN a, b`); // → Cypher
|
||||
await db.query(`SELECT ?s ?p ?o WHERE { ?s ?p ?o }`); // → SPARQL
|
||||
```
|
||||
|
||||
### 3. Zero-Copy Data Sharing
|
||||
|
||||
```rust
|
||||
// Share storage between engines
|
||||
struct SharedStorage {
|
||||
vectors: Arc<VectorStorage>, // From ruvector-wasm
|
||||
graph: Arc<GraphStorage>, // From ruvector-graph
|
||||
triples: Arc<TripleStore>, // From SPARQL
|
||||
}
|
||||
|
||||
// SQL can query vectors stored by vector engine
|
||||
// Cypher can use vectors from vector engine
|
||||
// SPARQL can reference graph nodes
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📈 Revised Size Estimate
|
||||
|
||||
| Component | Size (gzipped) |
|
||||
|-----------|----------------|
|
||||
| ruvector-wasm | 500KB |
|
||||
| ruvector-graph-wasm (Cypher) | 600KB |
|
||||
| ruvector-gnn-wasm | 300KB |
|
||||
| sona (learning) | 300KB |
|
||||
| SQL engine (sqlparser-rs) | 200KB |
|
||||
| SPARQL executor (extracted) | 300KB |
|
||||
| RvLite orchestration | 100KB |
|
||||
| **Total** | **~2.3MB** |
|
||||
|
||||
**Original Estimate**: 5-6MB
|
||||
**Revised with Reuse**: **2-3MB** ✅
|
||||
|
||||
---
|
||||
|
||||
## ✅ Success Metrics (Revised)
|
||||
|
||||
### Week 1 Checkpoint
|
||||
- [ ] All existing WASM crates integrated
|
||||
- [ ] Storage adapter working
|
||||
- [ ] SPARQL extracted and functional
|
||||
- [ ] Basic unified API working
|
||||
|
||||
### Week 2 Completion
|
||||
- [ ] SQL engine complete
|
||||
- [ ] All query types work (SQL, SPARQL, Cypher)
|
||||
- [ ] Bundle size < 3MB
|
||||
- [ ] Test coverage > 80%
|
||||
- [ ] Documentation complete
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Recommended Next Steps
|
||||
|
||||
1. **Immediate** (Today):
|
||||
- Create `rvlite` crate
|
||||
- Add dependencies on existing WASM crates
|
||||
- Verify all crates compile together
|
||||
|
||||
2. **Day 1-2**:
|
||||
- Build storage adapter
|
||||
- Test vector operations via ruvector-wasm
|
||||
- Test Cypher queries via ruvector-graph-wasm
|
||||
|
||||
3. **Day 3-5**:
|
||||
- Extract SPARQL from ruvector-postgres
|
||||
- Integrate SQL parser
|
||||
- Build unified API
|
||||
|
||||
4. **Day 6-10**:
|
||||
- Complete SQL executor
|
||||
- Testing and optimization
|
||||
- Documentation and examples
|
||||
|
||||
---
|
||||
|
||||
**Conclusion**: RvLite can be built in **2-3 weeks** by reusing **~70%** of existing code!
|
||||
|
||||
**Next**: Create the `rvlite` crate and start integration?
|
||||
Reference in New Issue
Block a user