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docs/dag/12-MILESTONES.md
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docs/dag/12-MILESTONES.md
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# Implementation Milestones
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## Overview
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Structured milestone plan for implementing the Neural DAG Learning system with 15-agent swarm coordination.
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## Milestone Summary
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```
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┌─────────────────────────────────────────────────────────────────────────┐
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│ NEURAL DAG LEARNING IMPLEMENTATION │
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├─────────────────────────────────────────────────────────────────────────┤
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│ M1: Foundation ████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 15% │
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│ M2: Core Attention ████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 25% │
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│ M3: SONA Learning ████████████████░░░░░░░░░░░░░░░░░░░░░░░░ 35% │
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│ M4: PostgreSQL ████████████████████████░░░░░░░░░░░░░░░░ 55% │
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│ M5: Self-Healing ████████████████████████████░░░░░░░░░░░░ 65% │
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│ M6: QuDAG Integration ████████████████████████████████░░░░░░░░ 80% │
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│ M7: Testing ████████████████████████████████████░░░░ 90% │
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│ M8: Production Ready ████████████████████████████████████████ 100% │
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└─────────────────────────────────────────────────────────────────────────┘
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```
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---
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## Milestone 1: Foundation
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**Status**: Not Started
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**Priority**: Critical
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**Agents**: #1, #14, #15
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### Objectives
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- [ ] Establish core DAG data structures
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- [ ] Create test fixture infrastructure
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- [ ] Initialize documentation structure
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### Deliverables
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| Deliverable | Agent | Status | Notes |
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|-------------|-------|--------|-------|
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| `QueryDag` struct | #1 | Pending | Node/edge management |
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| `OperatorNode` enum | #1 | Pending | All 15+ operator types |
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| Topological sort | #1 | Pending | O(V+E) implementation |
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| Cycle detection | #1 | Pending | For validation |
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| DAG serialization | #1 | Pending | JSON + binary formats |
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| Test DAG generator | #14 | Pending | All complexity levels |
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| Mock fixtures | #14 | Pending | Sample data |
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| Doc skeleton | #15 | Pending | README + guides |
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### Acceptance Criteria
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```rust
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// Core functionality must work
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let mut dag = QueryDag::new();
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dag.add_node(0, OperatorNode::SeqScan { table: "users".into() });
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dag.add_node(1, OperatorNode::Filter { predicate: "id > 0".into() });
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dag.add_edge(0, 1).unwrap();
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let sorted = dag.topological_sort().unwrap();
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assert_eq!(sorted, vec![0, 1]);
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let json = dag.to_json().unwrap();
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let restored = QueryDag::from_json(&json).unwrap();
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assert_eq!(dag, restored);
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```
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### Files Created
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```
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ruvector-dag/
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├── Cargo.toml
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├── src/
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│ ├── lib.rs
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│ └── dag/
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│ ├── mod.rs
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│ ├── query_dag.rs
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│ ├── operator_node.rs
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│ ├── traversal.rs
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│ └── serialization.rs
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└── tests/
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└── fixtures/
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├── dag_generator.rs
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└── sample_dags.json
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```
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### Exit Criteria
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- [ ] All unit tests pass for DAG module
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- [ ] Benchmark: create 1000-node DAG in <10ms
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- [ ] Documentation: rustdoc for all public items
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- [ ] Code review approved by Queen agent
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---
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## Milestone 2: Core Attention Mechanisms
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**Status**: Not Started
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**Priority**: Critical
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**Agents**: #2, #3
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### Objectives
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- [ ] Implement all 7 attention mechanisms
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- [ ] Implement attention selector (UCB bandit)
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- [ ] Achieve performance targets
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### Deliverables
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| Deliverable | Agent | Status | Target |
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|-------------|-------|--------|--------|
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| `DagAttention` trait | #2 | Pending | - |
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| `TopologicalAttention` | #2 | Pending | <50μs/100 nodes |
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| `CausalConeAttention` | #2 | Pending | <100μs/100 nodes |
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| `CriticalPathAttention` | #2 | Pending | <75μs/100 nodes |
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| `MinCutGatedAttention` | #2 | Pending | <200μs/100 nodes |
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| `HierarchicalLorentzAttention` | #3 | Pending | <150μs/100 nodes |
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| `ParallelBranchAttention` | #3 | Pending | <100μs/100 nodes |
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| `TemporalBTSPAttention` | #3 | Pending | <120μs/100 nodes |
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| `AttentionSelector` | #3 | Pending | UCB regret O(√T) |
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| Attention cache | #3 | Pending | 10K entry LRU |
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### Acceptance Criteria
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```rust
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// All mechanisms implement trait
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let mechanisms: Vec<Box<dyn DagAttention>> = vec![
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Box::new(TopologicalAttention::new(config)),
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Box::new(CausalConeAttention::new(config)),
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Box::new(CriticalPathAttention::new(config)),
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Box::new(MinCutGatedAttention::new(config)),
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Box::new(HierarchicalLorentzAttention::new(config)),
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Box::new(ParallelBranchAttention::new(config)),
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Box::new(TemporalBTSPAttention::new(config)),
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];
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for mechanism in mechanisms {
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let scores = mechanism.forward(&dag).unwrap();
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// Scores sum to ~1.0
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let sum: f32 = scores.values().sum();
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assert!((sum - 1.0).abs() < 0.001);
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// All scores in [0, 1]
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assert!(scores.values().all(|&s| s >= 0.0 && s <= 1.0));
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}
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// Selector chooses based on history
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let mut selector = AttentionSelector::new(mechanisms.len());
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for _ in 0..100 {
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let chosen = selector.select();
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let reward = simulate_query_improvement();
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selector.update(chosen, reward);
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}
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```
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### Performance Benchmarks
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| Mechanism | 10 nodes | 100 nodes | 500 nodes | 1000 nodes |
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|-----------|----------|-----------|-----------|------------|
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| Topological | <5μs | <50μs | <200μs | <500μs |
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| CausalCone | <10μs | <100μs | <400μs | <1ms |
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| CriticalPath | <8μs | <75μs | <300μs | <700μs |
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| MinCutGated | <20μs | <200μs | <800μs | <2ms |
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| HierarchicalLorentz | <15μs | <150μs | <600μs | <1.5ms |
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| ParallelBranch | <10μs | <100μs | <400μs | <1ms |
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| TemporalBTSP | <12μs | <120μs | <500μs | <1.2ms |
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### Files Created
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```
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ruvector-dag/src/attention/
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├── mod.rs
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├── traits.rs
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├── topological.rs
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├── causal_cone.rs
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├── critical_path.rs
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├── mincut_gated.rs
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├── hierarchical_lorentz.rs
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├── parallel_branch.rs
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├── temporal_btsp.rs
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├── selector.rs
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└── cache.rs
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```
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### Exit Criteria
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- [ ] All 7 mechanisms pass unit tests
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- [ ] All performance benchmarks met
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- [ ] Property tests pass (1000 cases each)
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- [ ] Selector converges to best mechanism in tests
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- [ ] Code review approved
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---
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## Milestone 3: SONA Learning System
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**Status**: Not Started
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**Priority**: Critical
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**Agents**: #4, #5
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### Objectives
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- [ ] Implement SONA engine with two-tier learning
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- [ ] Implement MinCut optimization engine
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- [ ] Achieve subpolynomial update complexity
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### Deliverables
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| Deliverable | Agent | Status | Target |
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|-------------|-------|--------|--------|
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| `DagSonaEngine` | #4 | Pending | Orchestration |
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| `MicroLoRA` | #4 | Pending | <100μs adapt |
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| `DagTrajectoryBuffer` | #4 | Pending | Lock-free, 1K cap |
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| `DagReasoningBank` | #4 | Pending | 100 clusters, <2ms search |
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| `EwcPlusPlus` | #4 | Pending | λ=5000 default |
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| `DagMinCutEngine` | #5 | Pending | - |
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| `LocalKCut` oracle | #5 | Pending | Local approximation |
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| Dynamic updates | #5 | Pending | O(n^0.12) amortized |
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| Bottleneck detection | #5 | Pending | - |
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### Acceptance Criteria
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```rust
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// SONA instant loop
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let mut sona = DagSonaEngine::new(config);
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let dag = create_query_dag();
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let start = Instant::now();
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let enhanced = sona.pre_query(&dag).unwrap();
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assert!(start.elapsed() < Duration::from_micros(100));
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// Learning from trajectory
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sona.post_query(&dag, &execution_metrics);
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// Verify learning happened
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let patterns = sona.reasoning_bank.query_similar(&dag.embedding(), 1);
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assert!(!patterns.is_empty());
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// MinCut dynamic updates
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let mut mincut = DagMinCutEngine::new();
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mincut.build_from_dag(&large_dag);
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let timings: Vec<Duration> = (0..1000)
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.map(|_| {
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let start = Instant::now();
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mincut.update_edge(rand_u(), rand_v(), rand_weight());
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start.elapsed()
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})
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.collect();
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let amortized = timings.iter().sum::<Duration>() / 1000;
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// Verify subpolynomial: amortized << O(n)
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```
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### Files Created
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```
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ruvector-dag/src/
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├── sona/
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│ ├── mod.rs
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│ ├── engine.rs
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│ ├── micro_lora.rs
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│ ├── trajectory.rs
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│ ├── reasoning_bank.rs
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│ └── ewc.rs
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└── mincut/
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├── mod.rs
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├── engine.rs
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├── local_kcut.rs
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├── dynamic_updates.rs
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├── bottleneck.rs
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└── redundancy.rs
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```
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### Exit Criteria
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- [ ] MicroLoRA adapts in <100μs
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- [ ] Pattern search in <2ms for 10K patterns
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- [ ] EWC prevents catastrophic forgetting (>80% task retention)
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- [ ] MinCut updates are O(n^0.12) amortized
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- [ ] All tests pass
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---
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## Milestone 4: PostgreSQL Integration
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**Status**: Not Started
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**Priority**: Critical
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**Agents**: #6, #7, #8
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|
||||
### Objectives
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|
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- [ ] Create functional PostgreSQL extension
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- [ ] Implement all SQL functions
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- [ ] Hook into query execution pipeline
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### Deliverables
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| Deliverable | Agent | Status | Notes |
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|-------------|-------|--------|-------|
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| pgrx extension setup | #6 | Pending | Extension skeleton |
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| GUC variables | #6 | Pending | All config vars |
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| Global state | #6 | Pending | DashMap-based |
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| Planner hook | #6 | Pending | DAG analysis |
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| Executor hooks | #6 | Pending | Trajectory capture |
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| Background worker | #6 | Pending | Learning loop |
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| Config SQL funcs | #7 | Pending | 5 functions |
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| Analysis SQL funcs | #7 | Pending | 6 functions |
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| Attention SQL funcs | #7 | Pending | 3 functions |
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| Pattern SQL funcs | #8 | Pending | 4 functions |
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| Trajectory SQL funcs | #8 | Pending | 3 functions |
|
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| Learning SQL funcs | #8 | Pending | 4 functions |
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### Acceptance Criteria
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```sql
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-- Extension loads successfully
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CREATE EXTENSION ruvector_dag CASCADE;
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-- Configuration works
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SELECT ruvector.dag_set_enabled(true);
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SELECT ruvector.dag_set_attention('auto');
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-- Query analysis works
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SELECT * FROM ruvector.dag_analyze_plan($$
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SELECT * FROM vectors
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WHERE embedding <-> '[0.1,0.2,0.3]' < 0.5
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LIMIT 10
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$$);
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-- Patterns are stored
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||||
INSERT INTO test_vectors SELECT generate_series(1,1000), random_vector(128);
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SELECT COUNT(*) FROM ruvector.dag_pattern_clusters(); -- Should have clusters
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||||
|
||||
-- Learning improves over time
|
||||
DO $$
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||||
DECLARE
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initial_time FLOAT8;
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final_time FLOAT8;
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BEGIN
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-- Run workload
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FOR i IN 1..100 LOOP
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||||
PERFORM * FROM test_vectors ORDER BY embedding <-> random_vector(128) LIMIT 10;
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END LOOP;
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-- Check improvement
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||||
SELECT avg_improvement INTO final_time FROM ruvector.dag_status();
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RAISE NOTICE 'Improvement ratio: %', final_time;
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END $$;
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||||
```
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||||
|
||||
### Files Created
|
||||
|
||||
```
|
||||
ruvector-postgres/src/dag/
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||||
├── mod.rs
|
||||
├── extension.rs
|
||||
├── guc.rs
|
||||
├── state.rs
|
||||
├── hooks.rs
|
||||
├── worker.rs
|
||||
└── functions/
|
||||
├── mod.rs
|
||||
├── config.rs
|
||||
├── analysis.rs
|
||||
├── attention.rs
|
||||
├── patterns.rs
|
||||
├── trajectories.rs
|
||||
└── learning.rs
|
||||
```
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
- [ ] Extension creates without errors
|
||||
- [ ] All 25+ SQL functions work
|
||||
- [ ] Query hooks capture execution data
|
||||
- [ ] Background worker runs learning loop
|
||||
- [ ] Integration tests pass
|
||||
|
||||
---
|
||||
|
||||
## Milestone 5: Self-Healing System
|
||||
|
||||
**Status**: Not Started
|
||||
**Priority**: High
|
||||
**Agents**: #9
|
||||
|
||||
### Objectives
|
||||
|
||||
- [ ] Implement autonomous anomaly detection
|
||||
- [ ] Implement automatic repair strategies
|
||||
- [ ] Integrate with healing SQL functions
|
||||
|
||||
### Deliverables
|
||||
|
||||
| Deliverable | Status | Notes |
|
||||
|-------------|--------|-------|
|
||||
| `AnomalyDetector` | Pending | Z-score based |
|
||||
| `IndexHealthChecker` | Pending | HNSW/IVFFlat |
|
||||
| `LearningDriftDetector` | Pending | Pattern quality trends |
|
||||
| `RepairStrategy` trait | Pending | Strategy interface |
|
||||
| `IndexRebalanceStrategy` | Pending | Rebalance indexes |
|
||||
| `PatternResetStrategy` | Pending | Reset bad patterns |
|
||||
| `HealingOrchestrator` | Pending | Main loop |
|
||||
|
||||
### Acceptance Criteria
|
||||
|
||||
```rust
|
||||
// Anomaly detection
|
||||
let mut detector = AnomalyDetector::new(AnomalyConfig {
|
||||
z_threshold: 3.0,
|
||||
window_size: 100,
|
||||
});
|
||||
|
||||
// Inject anomaly
|
||||
for _ in 0..99 {
|
||||
detector.observe(1.0); // Normal
|
||||
}
|
||||
detector.observe(100.0); // Anomaly
|
||||
|
||||
let anomalies = detector.detect();
|
||||
assert!(!anomalies.is_empty());
|
||||
assert!(anomalies[0].z_score > 3.0);
|
||||
|
||||
// Self-healing
|
||||
let orchestrator = HealingOrchestrator::new(config);
|
||||
orchestrator.run_cycle().unwrap();
|
||||
|
||||
// Verify repairs applied
|
||||
let health = orchestrator.health_report();
|
||||
assert!(health.overall_score > 0.8);
|
||||
```
|
||||
|
||||
### Files Created
|
||||
|
||||
```
|
||||
ruvector-dag/src/healing/
|
||||
├── mod.rs
|
||||
├── anomaly.rs
|
||||
├── index_health.rs
|
||||
├── drift_detector.rs
|
||||
├── strategies.rs
|
||||
└── orchestrator.rs
|
||||
|
||||
ruvector-postgres/src/dag/functions/
|
||||
└── healing.rs
|
||||
```
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
- [ ] Anomalies detected within 1s
|
||||
- [ ] Repairs applied automatically
|
||||
- [ ] No false positives in 24h test
|
||||
- [ ] SQL healing functions work
|
||||
- [ ] Integration tests pass
|
||||
|
||||
---
|
||||
|
||||
## Milestone 6: QuDAG Integration
|
||||
|
||||
**Status**: Not Started
|
||||
**Priority**: High
|
||||
**Agents**: #10, #11, #12
|
||||
|
||||
### Objectives
|
||||
|
||||
- [ ] Connect to QuDAG network
|
||||
- [ ] Implement quantum-resistant crypto
|
||||
- [ ] Enable distributed pattern learning
|
||||
|
||||
### Deliverables
|
||||
|
||||
| Deliverable | Agent | Status | Notes |
|
||||
|-------------|-------|--------|-------|
|
||||
| `QuDagClient` | #10 | Pending | Network client |
|
||||
| Pattern proposal | #10 | Pending | Submit patterns |
|
||||
| Pattern sync | #10 | Pending | Receive patterns |
|
||||
| Consensus validation | #10 | Pending | Track votes |
|
||||
| ML-KEM-768 | #11 | Pending | Encryption |
|
||||
| ML-DSA | #11 | Pending | Signatures |
|
||||
| Identity management | #11 | Pending | Key generation |
|
||||
| Differential privacy | #11 | Pending | Pattern noise |
|
||||
| Staking interface | #12 | Pending | Token staking |
|
||||
| Reward claiming | #12 | Pending | Earn rUv |
|
||||
| QuDAG SQL funcs | #12 | Pending | SQL interface |
|
||||
|
||||
### Acceptance Criteria
|
||||
|
||||
```rust
|
||||
// Connect to network
|
||||
let client = QuDagClient::connect("https://qudag.example.com:8443").await?;
|
||||
assert!(client.is_connected());
|
||||
|
||||
// Propose pattern with DP
|
||||
let pattern = PatternProposal {
|
||||
vector: pattern_vector,
|
||||
metadata: metadata,
|
||||
noise: laplace_noise(epsilon),
|
||||
};
|
||||
let proposal_id = client.propose_pattern(pattern).await?;
|
||||
|
||||
// Wait for consensus
|
||||
let status = client.wait_for_consensus(&proposal_id, timeout).await?;
|
||||
assert!(matches!(status, ConsensusStatus::Finalized));
|
||||
|
||||
// Sync patterns
|
||||
let new_patterns = client.sync_patterns(since_round).await?;
|
||||
for pattern in new_patterns {
|
||||
reasoning_bank.import_pattern(pattern);
|
||||
}
|
||||
|
||||
// Token operations
|
||||
let balance = client.get_balance().await?;
|
||||
client.stake(100.0).await?;
|
||||
let rewards = client.claim_rewards().await?;
|
||||
```
|
||||
|
||||
### Files Created
|
||||
|
||||
```
|
||||
ruvector-dag/src/qudag/
|
||||
├── mod.rs
|
||||
├── client.rs
|
||||
├── network.rs
|
||||
├── proposal.rs
|
||||
├── consensus.rs
|
||||
├── sync.rs
|
||||
├── crypto/
|
||||
│ ├── mod.rs
|
||||
│ ├── ml_kem.rs
|
||||
│ ├── ml_dsa.rs
|
||||
│ ├── identity.rs
|
||||
│ ├── keystore.rs
|
||||
│ └── differential_privacy.rs
|
||||
└── tokens/
|
||||
├── mod.rs
|
||||
├── staking.rs
|
||||
├── rewards.rs
|
||||
└── governance.rs
|
||||
|
||||
ruvector-postgres/src/dag/functions/
|
||||
└── qudag.rs
|
||||
```
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
- [ ] Connect to test QuDAG network
|
||||
- [ ] Pattern proposals finalize
|
||||
- [ ] Pattern sync works bidirectionally
|
||||
- [ ] ML-KEM/ML-DSA operations work
|
||||
- [ ] Token operations succeed
|
||||
- [ ] SQL functions work
|
||||
|
||||
---
|
||||
|
||||
## Milestone 7: Comprehensive Testing
|
||||
|
||||
**Status**: Not Started
|
||||
**Priority**: High
|
||||
**Agents**: #13, #14
|
||||
|
||||
### Objectives
|
||||
|
||||
- [ ] Achieve >80% test coverage
|
||||
- [ ] All benchmarks meet targets
|
||||
- [ ] CI/CD pipeline operational
|
||||
|
||||
### Deliverables
|
||||
|
||||
| Category | Count | Status |
|
||||
|----------|-------|--------|
|
||||
| Unit tests (attention) | 50+ | Pending |
|
||||
| Unit tests (sona) | 40+ | Pending |
|
||||
| Unit tests (mincut) | 30+ | Pending |
|
||||
| Unit tests (healing) | 25+ | Pending |
|
||||
| Unit tests (qudag) | 35+ | Pending |
|
||||
| Integration tests (postgres) | 20+ | Pending |
|
||||
| Integration tests (qudag) | 15+ | Pending |
|
||||
| Property tests | 20+ | Pending |
|
||||
| Benchmarks | 15+ | Pending |
|
||||
|
||||
### Performance Verification
|
||||
|
||||
| Component | Target | Test |
|
||||
|-----------|--------|------|
|
||||
| Topological attention | <50μs/100 nodes | Benchmark |
|
||||
| MicroLoRA | <100μs | Benchmark |
|
||||
| Pattern search | <2ms/10K | Benchmark |
|
||||
| MinCut update | O(n^0.12) | Benchmark |
|
||||
| Query analysis | <5ms | Integration |
|
||||
| Full learning cycle | <100ms | Integration |
|
||||
|
||||
### Coverage Targets
|
||||
|
||||
```
|
||||
Overall: >80%
|
||||
attention/: >90%
|
||||
sona/: >85%
|
||||
mincut/: >85%
|
||||
healing/: >80%
|
||||
qudag/: >75%
|
||||
functions/: >85%
|
||||
```
|
||||
|
||||
### Files Created
|
||||
|
||||
```
|
||||
ruvector-dag/
|
||||
├── tests/
|
||||
│ ├── unit/
|
||||
│ │ ├── attention/
|
||||
│ │ ├── sona/
|
||||
│ │ ├── mincut/
|
||||
│ │ ├── healing/
|
||||
│ │ └── qudag/
|
||||
│ ├── integration/
|
||||
│ │ ├── postgres/
|
||||
│ │ └── qudag/
|
||||
│ ├── property/
|
||||
│ └── fixtures/
|
||||
├── benches/
|
||||
│ ├── attention_bench.rs
|
||||
│ ├── sona_bench.rs
|
||||
│ └── mincut_bench.rs
|
||||
|
||||
.github/workflows/
|
||||
├── dag-tests.yml
|
||||
└── dag-benchmarks.yml
|
||||
```
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
- [ ] Coverage >80%
|
||||
- [ ] All tests pass
|
||||
- [ ] All benchmarks meet targets
|
||||
- [ ] CI pipeline green
|
||||
- [ ] No critical issues
|
||||
|
||||
---
|
||||
|
||||
## Milestone 8: Production Ready
|
||||
|
||||
**Status**: Not Started
|
||||
**Priority**: Critical
|
||||
**Agents**: All
|
||||
|
||||
### Objectives
|
||||
|
||||
- [ ] Complete documentation
|
||||
- [ ] Performance optimization
|
||||
- [ ] Security audit
|
||||
- [ ] Release preparation
|
||||
|
||||
### Deliverables
|
||||
|
||||
| Deliverable | Status |
|
||||
|-------------|--------|
|
||||
| Complete rustdoc | Pending |
|
||||
| SQL API docs | Pending |
|
||||
| Usage examples | Pending |
|
||||
| Integration guide | Pending |
|
||||
| Troubleshooting guide | Pending |
|
||||
| Performance tuning guide | Pending |
|
||||
| Security review | Pending |
|
||||
| CHANGELOG | Pending |
|
||||
| Release notes | Pending |
|
||||
|
||||
### Security Checklist
|
||||
|
||||
- [ ] No secret exposure
|
||||
- [ ] Input validation on all SQL functions
|
||||
- [ ] Safe memory handling (no leaks)
|
||||
- [ ] Cryptographic review (ML-KEM/ML-DSA)
|
||||
- [ ] Differential privacy parameters validated
|
||||
- [ ] No SQL injection vectors
|
||||
- [ ] Resource limits enforced
|
||||
|
||||
### Performance Optimization
|
||||
|
||||
- [ ] Profile and optimize hot paths
|
||||
- [ ] Memory usage optimization
|
||||
- [ ] Cache tuning
|
||||
- [ ] Query plan caching
|
||||
- [ ] Background worker tuning
|
||||
|
||||
### Release Checklist
|
||||
|
||||
- [ ] Version bump
|
||||
- [ ] CHANGELOG updated
|
||||
- [ ] All tests pass
|
||||
- [ ] Benchmarks verified
|
||||
- [ ] Documentation complete
|
||||
- [ ] Examples tested
|
||||
- [ ] Binary artifacts built
|
||||
- [ ] crates.io ready (if applicable)
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
- [ ] All previous milestones complete
|
||||
- [ ] Documentation complete
|
||||
- [ ] Security review passed
|
||||
- [ ] Performance targets met
|
||||
- [ ] Ready for production deployment
|
||||
|
||||
---
|
||||
|
||||
## Risk Register
|
||||
|
||||
| Risk | Impact | Probability | Mitigation |
|
||||
|------|--------|-------------|------------|
|
||||
| MinCut complexity target not achievable | High | Medium | Fall back to O(√n) algorithm |
|
||||
| PostgreSQL hook instability | High | Low | Extensive testing, fallback modes |
|
||||
| QuDAG network unavailable | Medium | Medium | Local-only fallback mode |
|
||||
| Performance regression | Medium | Medium | Continuous benchmarking in CI |
|
||||
| Memory leaks | High | Low | Valgrind/miri testing |
|
||||
| Cross-agent coordination failures | Medium | Medium | Queen agent mediation |
|
||||
|
||||
## Dependencies
|
||||
|
||||
### External Dependencies
|
||||
|
||||
| Dependency | Version | Purpose |
|
||||
|------------|---------|---------|
|
||||
| pgrx | ^0.11 | PostgreSQL extension |
|
||||
| tokio | ^1.0 | Async runtime |
|
||||
| dashmap | ^5.0 | Concurrent hashmap |
|
||||
| crossbeam | ^0.8 | Lock-free structures |
|
||||
| ndarray | ^0.15 | Numeric arrays |
|
||||
| ml-kem | TBD | ML-KEM-768 |
|
||||
| ml-dsa | TBD | ML-DSA signatures |
|
||||
|
||||
### Internal Dependencies
|
||||
|
||||
- `ruvector-core`: Vector operations, SONA base
|
||||
- `ruvector-graph`: GNN, attention base
|
||||
- `ruvector-postgres`: Extension infrastructure
|
||||
|
||||
---
|
||||
|
||||
## Completion Tracking
|
||||
|
||||
| Milestone | Weight | Status | Completion |
|
||||
|-----------|--------|--------|------------|
|
||||
| M1: Foundation | 15% | Not Started | 0% |
|
||||
| M2: Core Attention | 10% | Not Started | 0% |
|
||||
| M3: SONA Learning | 10% | Not Started | 0% |
|
||||
| M4: PostgreSQL | 20% | Not Started | 0% |
|
||||
| M5: Self-Healing | 10% | Not Started | 0% |
|
||||
| M6: QuDAG | 15% | Not Started | 0% |
|
||||
| M7: Testing | 10% | Not Started | 0% |
|
||||
| M8: Production | 10% | Not Started | 0% |
|
||||
| **TOTAL** | **100%** | - | **0%** |
|
||||
|
||||
---
|
||||
|
||||
*Document: 12-MILESTONES.md | Version: 1.0 | Last Updated: 2025-01-XX*
|
||||
Reference in New Issue
Block a user