Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
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
Proof-gated graph transformer with 8 verified modules — physics, biological, manifold, temporal, economic graph intelligence via NAPI-RS
High-performance vector database with HNSW indexing - 50k+ inserts/sec, built in Rust for AI/ML similarity search and semantic search applications
RVF self-learning temporal solver — Thompson Sampling, PolicyKernel, ReasoningBank
Graph Neural Network capabilities for Ruvector - Node.js bindings
RuVector Format Node.js native bindings
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
JS implementation of DAG-CBOR
JS implementation of DAG-JSON
High-performance WebAssembly attention mechanisms: Multi-Head, Flash, Hyperbolic, MoE, CGT Sheaf Attention with GPU acceleration for transformers and LLMs
DiskANN/Vamana — SSD-friendly billion-scale approximate nearest neighbor search with product quantization
Native Node.js bindings for RuVector Graph Database with hypergraph support, Cypher queries, and persistence - 10x faster than WASM
RuVector Format WASM microkernel for browser and edge vector operations
RuVector Format — unified TypeScript SDK for vector intelligence
RuVector Format Node.js native bindings
RaBitQ 1-bit quantized vector index in WebAssembly — 32× embedding compression with high-recall rerank, for browsers, Cloudflare Workers, Deno, and Bun
JS implementation of DAG-PB
A topologically ordered map of key/value pairs with a simple API for adding constraints.
WASM bindings for RuvLLM - browser-compatible LLM inference runtime with WebGPU acceleration
Directed acyclic graph functions for graphology.
RuVector Format Node.js native bindings
Directed Acyclic Graph (DAG) structures for query plan optimization with neural learning
Minimal WASM DAG library for browser and embedded systems