GH Repository · ruvnet
RuVector
RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.
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nodeotherRustgraph-neural-networksgnnsgnn-modelai-ocrgnngraphwasmllm-inferencemincutlow-latencyneo4jonnxocrrustaiattention-mechanismvector
RuVector is a vector database combined with a graph neural network engine written in Rust, described as real-time and self-learning. Its topics indicate graph processing, attention mechanisms, OCR, ONNX and WASM support, and Neo4j-style graph concerns, though the repository description alone does not detail each component.
You reach for it when you want low-latency vector storage with graph neural network capabilities in a single Rust tool.
Use it to
- Store and query vector embeddings
- Run graph neural network models over your data
- Process documents with the included OCR features
- Deploy models via ONNX or WASM targets
For Rust developers building AI or graph-based systems
- Role
- other
- Language
- Rust
- Licence
- MIT
- Forks
- 602
- Open issues
- 119
- Last push
- 2026-09-17
- Latest release
- v0.1.2 · 2025-12-03
- Skills shipped
- 37
topicsvector-databasegraph-neural-networksrustlow-latencyocronnx