WebAssembly bindings for ruvector-gnn - Graph Neural Network layers for browsers
Graph Neural Network capabilities for Ruvector - Node.js bindings
WebAssembly bindings for ruvector-gnn - Graph Neural Network layers for browsers
WebAssembly bindings for RuVector GNN with tensor compression and differentiable search
Graph Neural Network capabilities for Ruvector - linux-x64-gnu platform
Graph Neural Network capabilities for Ruvector - linux-x64-musl platform
Graph Neural Network capabilities for Ruvector - darwin-arm64 platform
Graph Neural Network capabilities for Ruvector - win32-x64-msvc platform
Graph Neural Network capabilities for Ruvector - darwin-x64 platform
Graph Neural Network capabilities for Ruvector - linux-arm64-gnu platform
Graph Neural Network capabilities for Ruvector - linux-arm64-musl platform
Standalone vector database with SQL, SPARQL, and Cypher - powered by RuVector WASM
Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms
Self-learning LLM runtime — TurboQuant KV-cache (6-8x compression), SONA adaptive learning, FlashAttention, speculative decoding, GGUF inference
High-performance vector database with HNSW indexing - 50k+ inserts/sec, built in Rust for AI/ML similarity search and semantic search applications
Proof-gated graph transformer with 8 verified modules — physics, biological, manifold, temporal, economic graph intelligence via NAPI-RS
Portable WASM embedding generation with SIMD and parallel workers - run text embeddings in browsers, Cloudflare Workers, Deno, and Node.js
WASM bindings for ruvector-graph-transformer: proof-gated graph attention in the browser
RuVector Format Node.js native bindings
RVF self-learning temporal solver — Thompson Sampling, PolicyKernel, ReasoningBank
Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
High-performance WebAssembly attention mechanisms: Multi-Head, Flash, Hyperbolic, MoE, CGT Sheaf Attention with GPU acceleration for transformers and LLMs
Native Node.js bindings for RuVector Graph Database with hypergraph support, Cypher queries, and persistence - 10x faster than WASM
RuVector Format — unified TypeScript SDK for vector intelligence
Graph Neural Network layer for Ruvector on HNSW topology
Cross-domain transfer learning engine: Rust synthesis, structured planning, tool orchestration
Standalone vector database with SQL, SPARQL, and Cypher - powered by RuVector WASM
Unified graph transformer with proof-gated mutation substrate — 8 verified modules for physics, biological, manifold, temporal, and economic graph intelligence
OSpipe: RuVector-enhanced personal AI memory system integrating with Screenpipe
Attention mechanisms for ruvector - geometric, graph, and sparse attention
CNN feature extraction for image embeddings with SIMD acceleration
High-performance Rust vector database core with HNSW indexing
Node.js bindings for Ruvector GNN via NAPI-RS
WebAssembly bindings for RuVector GNN with tensor compression and differentiable search