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Author SHA1 Message Date
rUv
062130348d feat(postgres): Add 53 SQL function definitions for all advanced modules 
Enable all advanced PostgreSQL extension functions by adding their SQL
definitions to the extension file. This exposes all Rust #[pg_extern]
functions to PostgreSQL.

## New SQL Functions (53 total)

### Hyperbolic Geometry (8 functions)
- ruvector_poincare_distance, ruvector_lorentz_distance
- ruvector_mobius_add, ruvector_exp_map, ruvector_log_map
- ruvector_poincare_to_lorentz, ruvector_lorentz_to_poincare
- ruvector_minkowski_dot

### Sparse Vectors (14 functions)
- ruvector_sparse_create, ruvector_sparse_from_dense
- ruvector_sparse_dot, ruvector_sparse_cosine, ruvector_sparse_l2_distance
- ruvector_sparse_add, ruvector_sparse_scale, ruvector_sparse_to_dense
- ruvector_sparse_nnz, ruvector_sparse_dim
- ruvector_bm25_score, ruvector_tf_idf, ruvector_sparse_normalize
- ruvector_sparse_topk

### GNN - Graph Neural Networks (5 functions)
- ruvector_gnn_gcn_layer, ruvector_gnn_graphsage_layer
- ruvector_gnn_gat_layer, ruvector_gnn_message_pass
- ruvector_gnn_aggregate

### Routing/Agents - "Tiny Dancer" (11 functions)
- ruvector_route_query, ruvector_route_with_context
- ruvector_calculate_agent_affinity, ruvector_select_best_agent
- ruvector_multi_agent_route, ruvector_create_agent_embedding
- ruvector_get_routing_stats, ruvector_register_agent
- ruvector_update_agent_performance, ruvector_adaptive_route
- ruvector_fastgrnn_forward

### Learning/ReasoningBank (7 functions)
- ruvector_record_trajectory, ruvector_get_verdict
- ruvector_distill_memory, ruvector_adaptive_search
- ruvector_learning_feedback, ruvector_get_learning_patterns
- ruvector_optimize_search_params

### Graph/Cypher (8 functions)
- ruvector_graph_create_node, ruvector_graph_create_edge
- ruvector_graph_get_neighbors, ruvector_graph_shortest_path
- ruvector_graph_pagerank, ruvector_cypher_query
- ruvector_graph_traverse, ruvector_graph_similarity_search

## CLI Updates
- Enabled hyperbolic geometry commands in postgres-cli
- Added vector distance and normalize commands
- Enhanced client with connection pooling and retry logic

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-03 03:44:14 +00:00
rUv
ee40332ce1 fix(postgres): Resolve compilation errors and Docker build issues 
- Fix simsimd Option/Result type mismatch in scaled_dot.rs
- Fix f32/f64 type conversions in poincare.rs and lorentz.rs
- Fix AVX512 missing wrapper functions by using AVX2 fallback
- Fix Vec<Vec<f32>> to JsonB for pgrx pg_extern compatibility
- Fix DashMap get() to get_mut() for mutable access
- Fix router.rs dereference for best_score comparison
- Update Dockerfile to copy pre-written SQL file for pgrx
- Simplify init.sql to use correct function names
- Add postgres-cli npm package for CLI tooling

All changes tested successfully in Docker with:
- Extension loads with AVX2 SIMD support (8 floats/op)
- Distance functions verified working
- PostgreSQL 16 container runs successfully

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-03 01:17:50 +00:00
rUv
ed3c283090 docs: Update README to enhance clarity and structure 2025-12-02 22:32:51 +00:00
rUv
316c7f99bc fix(docker): Build standalone crate without workspace 
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-02 20:29:21 +00:00
rUv
f5a7777ec5 fix(docker): Copy entire workspace for pgrx build 
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-02 20:27:16 +00:00
rUv
eb1227047d feat(postgres): Add 7 advanced AI modules to ruvector-postgres 
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>
 2025-12-02 20:12:48 +00:00
rUv
f08ea45d04 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>
 2025-12-02 19:15:20 +00:00
rUv
44eb410b3f docs: Remove Key Achievements section from EXO-AI 2025 README 2025-12-02 18:24:43 +00:00
rUv
6a0ce6a637 docs: Reorganize documentation and add postgres README 
ruvector-postgres:
- Add comprehensive README.md with features, comparison, tutorials
- Create docs/implementation/ and docs/guides/ subdirectories
- Move implementation summaries to organized locations

Root docs reorganization:
- Move HNSW docs to docs/hnsw/
- Move postgres docs to docs/postgres/
- Move zero-copy docs to docs/postgres/zero-copy/
- Move guides to docs/guides/
- Move architecture to docs/architecture/
- Move benchmarks docs to benchmarks/docs/
- Move benchmark source to benchmarks/src/

Cleanup:
- Remove duplicate install/ from root (now in crates/ruvector-postgres/install/)
- Remove stale benchmark results
- Remove duplicate binary files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-02 16:45:44 +00:00
rUv
1cfc29f357
feat(postgres): Add ruvector-postgres extension with SIMD optimizations (#42) 2025-12-02 09:55:07 -05:00