fix: Resolve unresolved imports in ruvector-tiny-dancer-core examples#18
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fix: Resolve unresolved imports in ruvector-tiny-dancer-core examples#18
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- Export training module and types from lib.rs (TrainingConfig,
TrainingDataset, Trainer, TrainingMetrics, generate_teacher_predictions)
- Export RouterConfig and FastGRNNConfig from lib.rs
- Add From<std::io::Error> impl for TinyDancerError
- Update examples to work without external dependencies:
- admin-server.rs: Simplified to demonstrate health checks and
config inspection without axum/tokio
- full_observability.rs: Uses manual metrics tracking instead of
prometheus crate
- metrics_example.rs: Manual metrics collection and display
- tracing_example.rs: Simple timing-based example without
OpenTelemetry
Fixes #16
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Co-Authored-By: Claude <noreply@anthropic.com>
- Align with main README.md format and content - Focus on npm/npx usage and JavaScript examples - Add comprehensive feature tables and benchmarks - Include all npm package references (@ruvector/*) - Add TypeScript API reference for main classes - Include use cases (RAG, recommendations, semantic search) - Add architecture diagram and comparison table - Link to GitHub documentation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
- Updated README with comprehensive documentation - Published to npm registry 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit addresses GitHub issue #17 by implementing comprehensive forgetting mitigation for continual learning in the GNN module. ## New Features ### Optimizer Implementation (training.rs) - Full Adam optimizer with bias-corrected first and second moments - SGD with momentum support - Lazy initialization of state buffers for efficiency ### Replay Buffer (replay.rs) - Experience replay with reservoir sampling for uniform distribution - Distribution shift detection with statistical tracking - Configurable capacity and batch sampling ### Elastic Weight Consolidation (ewc.rs) - Fisher information diagonal computation - Anchor weight consolidation for task boundaries - EWC penalty and gradient computation ### Learning Rate Scheduling (scheduler.rs) - Constant, StepDecay, Exponential schedulers - CosineAnnealing with warm restarts - WarmupLinear for pre-training warmup - ReduceOnPlateau for adaptive learning ## Deployment Infrastructure ### GitHub Actions Release Pipeline (.github/workflows/release.yml) - 8-stage CI/CD pipeline for complete releases - Validates, builds crates, WASM, and native modules - Publishes to crates.io and npmjs.com - Creates GitHub releases with artifacts ### Deployment Script (scripts/deploy.sh) - Comprehensive deployment orchestration - Version synchronization across Cargo.toml and package.json - Dry-run mode for testing - Cross-platform native builds support ## Test Coverage - 177 tests passing in ruvector-gnn - Comprehensive tests for all new modules - Convergence tests for optimizers 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
- Added 50+ SEO keywords covering emerging trends (agentic-ai, rag, llm-router, langchain, multi-agent, etc.) - Added homepage, bugs, and funding fields to package.json - Comprehensive README update with: - "Why RuVector?" section for agentic AI era - Complete RAG example with OpenAI embeddings - Knowledge graph examples with Cypher queries - GNN self-learning search examples - AI agent routing (Tiny Dancer) examples - Compression tier examples - LangChain/LlamaIndex integration guides - Semantic caching use case - Agentic AI/Multi-agent systems examples - Extended comparison table (added Milvus, Weaviate) - Platform support table (Cloudflare Workers, Vercel Edge, etc.) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
19 tasks
…mitigation Version bump and comprehensive updates: ## GNN Forgetting Mitigation (Issue #17) - Add Adam optimizer with bias-corrected momentum - Add SGD with momentum for convergence - Add Elastic Weight Consolidation (EWC) for catastrophic forgetting prevention - Add ReplayBuffer with reservoir sampling - Add 6 learning rate scheduling strategies - All 177 GNN tests passing ## Security Fixes - Fixed integer overflow vulnerabilities across core crates - Enhanced bounds checking in arena allocations - Improved quantization safety - Added verification tests for security fixes ## Dependency Updates - Updated ruvector-gnn dependency versions in node/wasm crates 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Use dynamic version check instead of hardcoded value to avoid test failures when workspace version changes. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
- Update package.json version to 0.1.15 - Build native binary for linux-x64-gnu - Published base package to npm registry Native binaries for other platforms (darwin, windows, arm64) will be built and published via GitHub Actions CI. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
- Update package.json version to 0.1.15 - Built native binary for linux-x64-gnu - Published base package to npm registry Multi-platform binaries (darwin, windows, arm64) need to be built via GitHub Actions CI. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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fix: Resolve unresolved imports in ruvector-tiny-dancer-core examples
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Summary
TrainingConfig,TrainingDataset,Trainer,TrainingMetrics,generate_teacher_predictions)RouterConfigandFastGRNNConfigfrom lib.rsFrom<std::io::Error>impl forTinyDancerErrorChanges
src/lib.rssrc/error.rsFrom<std::io::Error>implementationexamples/admin-server.rsexamples/full_observability.rsexamples/metrics_example.rsexamples/tracing_example.rsTest plan
cargo build --examplessucceedscargo test -p ruvector-tiny-dancer-corepasses (27 tests)Fixes #16
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