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Comprehensive implementation of advanced AI capabilities: ## New Modules (23,541 lines of code) ### 1. Self-Learning / ReasoningBank (`src/learning/`) - Trajectory tracking for query optimization - Pattern extraction using K-means clustering - ReasoningBank for pattern storage and matching - Adaptive search parameter optimization ### 2. Attention Mechanisms (`src/attention/`) - Scaled dot-product attention (core) - Multi-head attention with parallel heads - Flash Attention v2 (memory-efficient) - 10 attention types with PostgresEnum support ### 3. GNN Layers (`src/gnn/`) - Message passing framework - GCN (Graph Convolutional Network) - GraphSAGE with mean/max aggregation - Configurable aggregation methods ### 4. Hyperbolic Embeddings (`src/hyperbolic/`) - Poincaré ball model - Lorentz hyperboloid model - Hyperbolic distance metrics - Möbius operations ### 5. Sparse Vectors (`src/sparse/`) - COO format sparse vector type - Efficient sparse-sparse distance functions - BM25/SPLADE compatible - Top-k pruning operations ### 6. Graph Operations & Cypher (`src/graph/`) - Property graph storage (nodes/edges) - BFS, DFS, Dijkstra traversal - Cypher query parser (AST-based) - Query executor with pattern matching ### 7. Tiny Dancer Routing (`src/routing/`) - FastGRNN neural network - Agent registry with capabilities - Multi-objective routing optimization - Cost/latency/quality balancing ## Docker Infrastructure - Dockerfile with pgrx 0.12.6 and PostgreSQL 16 - docker-compose.yml with test runner - Initialization SQL with test tables - Shell scripts for dev/test/benchmark ## Feature Flags - `learning`, `attention`, `gnn`, `hyperbolic` - `sparse`, `graph`, `routing` - `ai-complete` and `graph-complete` bundles 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| examples | ||
| guides | ||
| implementation | ||
| integration-plans | ||
| learning | ||
| API.md | ||
| ARCHITECTURE.md | ||
| BUILD.md | ||
| BUILD_QUICK_START.md | ||
| GNN_IMPLEMENTATION_SUMMARY.md | ||
| GNN_INDEX.md | ||
| GNN_QUICK_REFERENCE.md | ||
| GNN_USAGE_EXAMPLES.md | ||
| GRAPH_IMPLEMENTATION.md | ||
| GRAPH_QUICK_REFERENCE.md | ||
| IMPLEMENTATION_SUMMARY.md | ||
| INSTALLATION.md | ||
| ivfflat_access_method.md | ||
| LEARNING_MODULE_README.md | ||
| MIGRATION.md | ||
| NATIVE_TYPE_IO.md | ||
| NEON_COMPATIBILITY.md | ||
| QUANTIZED_TYPES.md | ||
| QUICK_REFERENCE_IVFFLAT.md | ||
| ROUTING_QUICK_REFERENCE.md | ||
| SIMD_OPTIMIZATION.md | ||
| TEST_SUMMARY.md | ||
| TESTING.md | ||
| TINY_DANCER_ROUTING.md | ||
| TYPE_IO_IMPLEMENTATION_SUMMARY.md | ||