# OxiRS Vec - TODO
*Version: 0.1.0 | Last Updated: 2026-01-06*
## Status: Production Ready
OxiRS Vec provides comprehensive vector search infrastructure for semantic similarity with full SPARQL integration.
### Features
- **HNSW Index** - Hierarchical Navigable Small World graph for approximate nearest neighbors
- **IVF Index** - Inverted File Index for large-scale search
- **Product Quantization** - PQ and OPQ for memory-efficient storage
- **Scalar Quantization** - SQ for reduced memory footprint
- **LSH Index** - Locality Sensitive Hashing for approximate search
- **NSG Index** - Navigable Small World Graph
- **DiskANN** - Billion-scale vector search with SSD optimization
- **Learned Indexes** - Neural network-based indexing with RMI architecture
- **20+ Distance Metrics** - Cosine, Euclidean, Manhattan, KL-divergence, Pearson, and more
- **GPU Acceleration** - CUDA kernels with mixed-precision and tensor core support
- **Hybrid Search** - Keyword + semantic search combination with BM25
- **Re-ranking** - Cross-encoder re-ranking with diversity-aware strategies
- **Multi-modal Search** - Text, image, audio, video with production encoders
- **Personalized Search** - User embeddings, collaborative filtering, contextual bandits
- **SPARQL Integration** - Custom functions for vector similarity queries
- **GraphQL Integration** - Vector queries through GraphQL API
- **Multi-tenancy** - Tenant isolation, quota management, billing engine
- **Write-Ahead Logging** - Crash recovery with WAL support
- **Persistence** - Zstd compression, incremental checkpointing
- **Monitoring** - Performance metrics, alerting, health monitoring
- **683 tests passing** with zero warnings
### Key Capabilities
- Multiple indexing strategies for different use cases
- GPU-accelerated distance calculations
- Real-time index updates with streaming ingestion
- Filtered search with metadata and complex conditions
- Batch operations with transactional semantics
- Memory-efficient storage with compression
- Production-grade crash recovery
- Comprehensive monitoring and analytics
### Documentation
Production-ready guides available in `/docs`:
- Production Deployment Guide
- Performance Tuning Guide
- Best Practices Guide
- WAL Configuration Guide
- GPU Acceleration Guide
- Migration Guide from FAISS/Annoy
### Known Limitations
- **Tree indices** (Ball Tree, KD-Tree, VP-Tree): Marked as experimental with conservative depth limits. Use HNSW, IVF, or LSH for production workloads.
## Future Roadmap
### v0.2.0 - Enhanced GPU Support (Q1 2026 - Expanded)
- [ ] GPU-based index building
- [ ] Multi-GPU load balancing
- [ ] Enhanced CUDA kernel optimization
- [ ] Consensus protocol (Raft) integration
- [ ] Fault tolerance testing
- [ ] Cross-datacenter replication
- [ ] Geo-distributed deployment
### v0.4.0 - Advanced Features (Q3 2026)
- [ ] Enhanced snapshot and restore
- [ ] SLA-based resource allocation
- [ ] Advanced query optimization
### v1.0.0 - LTS Release (Q2 2026)
- [ ] Full production deployment validation
- [ ] Long-term support guarantees
- [ ] Enterprise features
- [ ] Comprehensive benchmarks
## Contributing
See [CONTRIBUTING.md](../../CONTRIBUTING.md) for development guidelines.
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*OxiRS Vec v0.1.0 - Vector search infrastructure*