Commit graph

6 commits

Author SHA1 Message Date
rUv
de3b80bc93 feat(postgres): Enable HNSW access method for CREATE INDEX ... USING hnsw
- Rewrote hnsw_am.rs to fix pgrx 0.12 API compatibility:
  - Use raw pg_sys::Relation instead of PgRelation wrapper
  - Use palloc0 + Internal return type for handler function
  - Fix ScanDirection and IndexUniqueCheck type paths
  - Use RelationGetNumberOfBlocksInFork to check if index exists
  - Use P_NEW (InvalidBlockNumber) for allocating first page
  - Define static HNSW_AM_HANDLER template for IndexAmRoutine
- Enabled hnsw_am module in index/mod.rs
- Re-enabled HNSW access method SQL declarations:
  - hnsw_handler function
  - CREATE ACCESS METHOD hnsw
  - Operator families: hnsw_l2_ops, hnsw_cosine_ops, hnsw_ip_ops
  - Operator classes with distance function bindings

CREATE INDEX ... USING hnsw now works with real[] columns.
Query planner uses HNSW index for ORDER BY <-> queries.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-03 15:56:11 +00:00
rUv
9483831cce fix(postgres): Fix SQL function declarations and disable HNSW access method
- Fixed 13 sparse vector function symbol names (ruvector_* -> pg_*)
  pgrx exports C symbols from Rust function names, not `name = "..."` attribute
- Commented out non-existent GAT and GNN readout SQL declarations
- Disabled HNSW access method SQL (CREATE ACCESS METHOD, operator families,
  operator classes) - requires pgrx API stabilization for full implementation
- Keep distance operators (<->, <=>, <#>) available as standalone functions
- Extension now loads successfully with 104 working SQL functions

Tested: Docker build succeeds, extension creates without errors,
core vector/graph/attention/routing functions verified working

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-03 08:18:32 +00:00
rUv
b9470e1f32 fix(sona): Fix NAPI build config and publish v0.1.3 with Linux x64 binary
- Fix package.json napi config (use binaryName/targets instead of deprecated name/triples)
- Update build script to use correct napi-rs CLI arguments
- Publish @ruvector/sona-linux-x64-gnu@0.1.3 platform package
- Publish @ruvector/sona@0.1.3 main package with Linux x64 native binary
- Update GitHub Actions workflow with improved build process

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-03 07:24:04 +00:00
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
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
1cfc29f357
feat(postgres): Add ruvector-postgres extension with SIMD optimizations (#42) 2025-12-02 09:55:07 -05:00