Graph Neural Network capabilities for Ruvector - Node.js bindings
RVF self-learning temporal solver — Thompson Sampling, PolicyKernel, ReasoningBank
Temporal integration for NestJS
Polyfill for Temporal (https://github.com/tc39/proposal-temporal), an ECMA TC39 Stage 3 proposal
Proof-gated graph transformer with 8 verified modules — physics, biological, manifold, temporal, economic graph intelligence via NAPI-RS
A lightweight polyfill for Temporal, successor to the JavaScript Date object
Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms
High-performance vector database with HNSW indexing - 50k+ inserts/sec, built in Rust for AI/ML similarity search and semantic search applications
Self-learning LLM runtime — TurboQuant KV-cache (6-8x compression), SONA adaptive learning, FlashAttention, speculative decoding, GGUF inference
Portable WASM embedding generation with SIMD and parallel workers - run text embeddings in browsers, Cloudflare Workers, Deno, and Node.js
RuVector Format Node.js native bindings
WASM bindings for ruvector-graph-transformer: proof-gated graph attention in the browser
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
RuVector Format — unified TypeScript SDK for vector intelligence
Native Node.js bindings for RuVector Graph Database with hypergraph support, Cypher queries, and persistence - 10x faster than WASM
DiskANN/Vamana — SSD-friendly billion-scale approximate nearest neighbor search with product quantization
RuVector Format Node.js native bindings
RuVector Format WASM microkernel for browser and edge vector operations
RuVector Format Node.js native bindings
WASM bindings for RuvLLM - browser-compatible LLM inference runtime with WebGPU acceleration
RaBitQ 1-bit quantized vector index in WebAssembly — 32× embedding compression with high-recall rerank, for browsers, Cloudflare Workers, Deno, and Bun
V3 Embedding Service - OpenAI, Transformers.js, Agentic-Flow (ONNX), Mock providers with hyperbolic embeddings, normalization, and chunking
Neural router for AI agent orchestration - FastGRNN-based intelligent routing with circuit breaker, uncertainty estimation, and hot-reload
Temporal tensor compression with tiered quantization for RuVector
Mass Casualty Assessment Tool - WiFi-based disaster survivor detection
RuVector v2.0.4 integration layer — ADR-017 signal processing and MAT ruvector integrations
Training pipeline for WiFi-DensePose pose estimation