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access two slices as a single continuous vector
Attention mechanisms for ruvector - geometric, graph, and sparse attention
Node.js bindings for ruvector-attention
Unified WebAssembly bindings for 18+ attention mechanisms: Neural, DAG, Graph, and Mamba SSM
High-performance WebAssembly attention mechanisms: Multi-Head, Flash, Hyperbolic, MoE, CGT Sheaf Attention with GPU acceleration for transformers and LLMs
Min-cut gating attention operator: dynamic graph-based alternative to softmax attention
CLI and MCP server for Ruvector
Distributed clustering and sharding for ruvector
CNN feature extraction for image embeddings with SIMD acceleration
Verifiable WASM cognitive container with canonical witness chains
Coherence measurement proxies for comparing attention mechanisms
High-performance collection management for Ruvector vector databases