ruvnet/ruvector

RuVector is a High Performance, Real-Time, Self-Learning, Vector Graph Neural Network, and Database built in Rust.

Rust4.4K stars585 forks+410 today

Topics

#ai#ai-ocr#gnn#graph#llm-inference#low-latency#neo4j#ocr#onnx#rust#vector#wasm#attention-mechanism#gnn-model#gnns#graph-neural-networks#mincut

What it does

RuVector is a high-performance vector and graph database built in Rust, designed for AI applications, agentic systems, and real-time analytics. It stands out by learning from user queries, running LLMs locally, and offering tamper-proof audit trails.

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Tracking

Last trending: 2026-04-25

Creator kit

Hook

Revolutionize your AI infrastructure with RuVector - a self-learning vector database that runs LLMs locally and scales horizontally. #RustLang #AIInfrastructure

Content angles

How RuVector's self-booting microservice can be used in real-time analytics
A deep dive into the benefits of running local LLMs on RuVector
Exploring the unique features of RuVector for agentic systems

Who should care

Developers, data scientists, and AI researchers interested in Rust-based solutions for scalable and efficient vector database operations.