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docs(postgres): Add comprehensive integration plans for advanced features
Add detailed implementation, optimization, and benchmarking plans for:
1. Self-Learning / ReasoningBank
- Trajectory tracking, verdict judgment, memory distillation
- Adaptive search parameter optimization
2. Attention Mechanisms (39 types)
- Core: Scaled dot-product, multi-head, Flash v2, linear
- Graph: GAT, GATv2, sparse patterns
- Specialized: MoE, cross-attention, sliding window
- Hyperbolic: Poincaré, Lorentz attention
3. GNN Layers
- GCN, GraphSAGE, GAT, GIN layers
- Message passing framework
- PostgreSQL graph storage integration
4. Hyperbolic Embeddings
- Poincaré ball and Lorentz models
- Möbius operations, exp/log maps
- Hyperbolic HNSW index
5. Sparse Vectors
- COO/CSR formats, SPLADE support
- Inverted index, WAND algorithm
- Hybrid dense+sparse search
6. Graph Operations & Cypher
- Full Cypher query language support
- Property graph storage
- Vector-enhanced traversals
- Graph algorithms (PageRank, community detection)
7. Tiny Dancer Routing
- FastGRNN neural inference
- Semantic route matching
- Cost/latency optimization
- Agent registry and pool management
8. Optimization Strategy
- SIMD dispatch (AVX-512/AVX2/NEON)
- Zero-copy operations, memory pools
- Query plan caching, parallel execution
- PostgreSQL-specific tuning
9. Benchmarking Plan
- Micro-benchmarks for all operations
- Competitor comparison methodology
- Stress testing and recall analysis
- CI/CD integration
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-12-02 19:15:20 +00:00 |
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