🐘 RuVector PostgreSQL Bridge
/core-features/ruvector-postgresql-bridge-1
| Feature | Description | Performance |
|---|---|---|
| pgvector Integration | Native PostgreSQL vector operations | 150x faster than in-memory |
| Attention Mechanisms | Self, multi-head, cross-attention in SQL | GPU-accelerated |
| Graph Neural Networks | GNN operations via SQL functions | Message passing, aggregation |
| Hyperbolic Embeddings | Poincaré ball model in PostgreSQL | Better hierarchy representation |
| Quantization | Int8/Float16 compression | 3.92x memory reduction |
| Streaming | Large dataset processing | Batch + async support |
| Migrations | Version-controlled schema | 7 migration scripts |
bash
ruflo ruvector init --database mydb --user admin
ruflo ruvector status --verbose
ruflo ruvector migrate --up
ruflo ruvector benchmark --iterations 1000
ruflo ruvector optimize --analyze
ruflo ruvector backup --output ./backup.sql| Migration | Purpose | Features |
|---|---|---|
001_create_extension | Enable pgvector | Vector type, operators |
002_create_vector_tables | Core tables | embeddings, patterns, agents |
003_create_indices | HNSW indices | 150x faster search |
004_create_functions | Vector functions | Similarity, clustering |
005_create_attention_functions | Attention ops | Self/multi-head attention |
006_create_gnn_functions | GNN operations | Message passing, aggregation |
007_create_hyperbolic_functions | Hyperbolic geometry | Poincaré operations |