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v2.1.0-rudevolution

ruvnet/RuVectorv2.1.0-rudevolutionApr 4, 2026by ruvnet

AI Summary

Introduces the Training Pipeline infrastructure for continuous model improvement, including release gate automation and dataset governance.

Key Highlights

  • Release gate automation with 7 ship/no-ship criteria
  • Dataset governance with schema validation and deduplication
  • Nightly training pipeline using LoRA from brain learnings
  • TurboQuant sidecar for KV-cache configuration

New Features

  • GCloud training infrastructure
  • Automated release gate checker
  • Dataset quality scoring and contamination checks
  • TurboQuant configuration profiles

Full Release Notes

## RuVector Release v2.1.0-rudevolution

### Published Packages

#### crates.io
- `ruvector-math` - Advanced math primitives
- `ruvector-attention` - 7-theory attention mechanisms
- `ruvector-math-wasm` - WASM bindings for math
- `ruvector-attention-wasm` - WASM bindings for attention

#### npm
- `@ruvector/math-wasm` - Browser WASM package
- `@ruvector/attention` - Main Node.js package (auto-selects platform)
- `@ruvector/attention-wasm` - Browser WASM package
- Platform-specific: linux-x64, linux-arm64, darwin-x64, darwin-arm64, win32-x64

### Installation

```bash
# Rust
cargo add ruvector-math ruvector-attention

# Node.js (auto-selects correct binary)
npm install @ruvector/attention

# Browser (WASM)
npm install @ruvector/math-wasm @ruvector/attention-wasm
```