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    Decorative pattern
    Decorative pattern
    1. Home
    2. Sdks Libraries
    3. ruvector-gnn

    ruvector-gnn

    Rust crate for Graph Neural Network layers and training integrated with vector search. Powers GNN-enhanced HNSW reranking and semantic routing in RuVector. Supports browser and edge deployment via WASM.

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    Information

    Websitecrates.io
    PublishedApr 7, 2026

    Categories

    1 Item
    Sdks Libraries

    Tags

    4 Items
    #open-source#rust#gnn#wasm

    Similar Products

    6 result(s)

    ruvector-attention-unified-wasm

    Unified WASM bindings for 18+ attention mechanisms including neural, DAG, and Mamba SSM, optimized for vector search and processing.

    ruvector-economy-wasm

    CRDT-based autonomous credit economy in WASM for decentralized vector resource allocation and AI agent economics.

    ruvector-exotic-wasm

    WASM crate with exotic AI primitives like strange loops and time crystals for advanced vector computations in novel AI architectures.

    ruvector-graph-transformer-wasm

    WASM bindings for browser-side graph transformers with proof verification.

    ruvector-learning-wasm

    WASM library for MicroLoRA adaptation with sub-100µs latency, enabling fast fine-tuning for vector embeddings and AI models in browser environments.

    ruvector-mincut

    Rust implementation of subpolynomial fully-dynamic min-cut algorithm for AI coherence checks, network resilience, and agent coordination. Features 256-core parallel optimization and WASM bindings for browser use.

    Overview

    Graph Neural Networks for enhancing vector retrieval and agent routing.

    Features

    • GNN-backed HNSW reranking
    • 8 graph transformer modules (physics, bio, temporal, etc.)
    • Node.js and WASM bindings
    • Real-time adaptation

    Pricing

    Free and open-source.