🧬 rvDNA system video for RuVector, which is a unified vector and graph substrate designed to treat intelligence as structured state, not just prompt output

Reuven Cohen presents RuVector, a novel AI substrate that treats intelligence as structured state rather than prompt output. The system combines vector embeddings with graph topology, allowing simultaneous reasoning across similarity and structural relationships. A key innovation is dynamic minimum cut, which continuously measures structural coherence and gates learning when instability emerges—essentially analyzing the inverse structure of problems in real time.

The demonstration focuses on genomic analysis, where RuVector runs a complete DNA analysis pipeline (mutation detection, protein translation, biological age prediction) in 12 milliseconds on a CPU with no GPU required. This represents roughly a 60,000x speedup over traditional bioinformatics tools like BLAST. The system achieves this by pre-computing AI features into a specialized file format that bundles raw DNA sequences, genetic fingerprints, and AI tensors together—eliminating heavy computational lifting at runtime.

The architecture supports iterative self-learning by moving between vector and graph spaces, with attention mechanisms applied to both so patterns refine structure and structure refines embeddings. For genomic sequences specifically, Cohen maps them into a qubit-inspired latent space projected into vectors and indexed for optimized traversal across large graphs at low latency.

From a practical perspective, RuVector runs entirely in the browser via WebAssembly, keeping sensitive genetic data on users' devices rather than uploading to cloud servers. The entire system is open source, requiring only a single terminal command to integrate into existing applications. The broader implication: moving from treating data analysis as slow batch processing to enabling real-time interactive exploration—applicable to fields beyond genomics that require reasoning across both similarity relationships and structural topology. https://ruv.net/ruvector