Commit graph

5 commits

Author SHA1 Message Date
rUv
dcb12c22e9 feat: Publish 8 new npm packages
Published WASM and infrastructure packages:
- @ruvector/wasm@0.1.16 - Core WASM bindings
- @ruvector/gnn-wasm@0.1.0 - GNN WASM bindings
- @ruvector/graph-wasm@0.1.0 - Graph WASM bindings
- @ruvector/attention-wasm@0.1.0 - Attention WASM bindings
- @ruvector/tiny-dancer-wasm@0.1.0 - AI routing WASM
- @ruvector/router-wasm@0.1.0 - Semantic router WASM
- @ruvector/cluster@0.1.0 - Distributed clustering
- @ruvector/server@0.1.0 - HTTP/gRPC server

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-02 18:44:00 +00:00
rUv
526b7adac1 chore: Update workspace version to 0.1.2 and simplify CI workflow
- Bump workspace version from 0.1.1 to 0.1.2
- Simplify build-native.yml workflow (remove duplicate graph build job)
- Update Cargo.lock with latest dependencies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-26 17:43:34 +00:00
rUv
eef6778839 fix: Resolve CI build failures
- Format all Rust code with cargo fmt
- Generate Cargo.lock for security audit
- Add build:wasm script to graph-wasm package.json
- Update npm/package-lock.json

The CI was failing due to:
1. Rust code formatting check failures
2. Missing Cargo.lock file for cargo audit
3. Missing build:wasm script expected by graph-ci.yml workflow

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-26 15:25:47 +00:00
Claude
4b2c2c212d
feat: Add ruvector-gnn crate with GNN, compression, WASM and Node.js bindings
Major additions:
- ruvector-gnn: Complete GNN implementation with RuvectorLayer, multi-head attention, GRU cell
- Tensor compression: 5-tier adaptive compression (f32→f16→PQ8→PQ4→Binary, 2-32x)
- Differentiable search: Soft attention k-NN with gradient flow
- Training: InfoNCE contrastive loss, SGD optimizer
- Query API: RuvectorQuery, QueryResult, SubGraph types
- MmapManager: Memory-mapped embeddings with gradient accumulation
- Tensor operations: Full tensor math library

Bindings:
- ruvector-gnn-wasm: Full WASM bindings for browser
- ruvector-gnn-node: napi-rs bindings for Node.js

Fixes:
- WASM compatibility for ruvector-graph (conditional compilation)
- Feature flags for storage/hnsw modules

Updated README with GNN architecture overview and tutorials
2025-11-26 04:50:36 +00:00
Claude
bcc85f5faf
feat: Add Neo4j-compatible hypergraph database package (ruvector-graph)
Major new package implementing a distributed hypergraph database with:

## Core Components (crates/ruvector-graph/)
- Cypher-compatible query parser with lexer, AST, optimizer
- Query execution engine with SIMD optimization and parallel execution
- ACID transaction support with MVCC isolation levels
- Distributed consensus and federation layer
- Vector-graph hybrid queries for AI/RAG workloads
- Performance optimizations (100x faster than Neo4j target)

## Bindings
- WASM bindings (crates/ruvector-graph-wasm/)
- NAPI-RS Node.js bindings (crates/ruvector-graph-node/)
- NPM packages for both targets

## CLI Integration
- 8 new graph commands: create, query, shell, import, export, info, benchmark, serve

## CI/CD
- Updated build-native.yml for graph packages
- New graph-ci.yml for testing and benchmarks
- New graph-release.yml for automated publishing

## Data Generation
- OpenRouter/Kimi K2 integration (packages/graph-data-generator/)
- Agentic-synth benchmark suite integration

## Tests & Benchmarks
- 11 test files covering all components
- Criterion benchmarks for performance validation
- Neo4j compatibility test suite

## Architecture Highlights
- CSR graph layout for cache-friendly access
- SIMD-vectorized query operators
- Roaring bitmaps for label indexes
- Bloom filters for fast negative lookups
- Adaptive radix tree for property indexes

Note: This is a comprehensive implementation created by 15 parallel agents.
Some integration fixes may be needed to resolve cross-module dependencies.

Co-authored-by: Claude AI Swarm <swarm@claude.ai>
2025-11-25 23:11:54 +00:00