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Neighborly Roadmap

Release Milestone Feature Description
Preview 1
✔️ Basic CRUD Operations Implement Create, Read, Update, and Delete operations for vectors. Develop unit tests for these operations.
✔️ Indexing Introduce efficient indexing mechanisms for quick retrieval. Implement vector similarity search.
✔️ Persistence Ensure data persistence with disk-backed storage.
🔄 Web API Basic API that is accessible via gRPC
✔️ NuGet (in-line library) NuGet package for .NET library for in-line databases
Documentation Provide detailed documentation for setup and usage. Create API documentation.
Preview 2
Docker and NuGet releases Publish Web API into a self-contained Docker image, and local SDK into NuGet releases
Optimizations Optimize search algorithms for better performance. Implement caching mechanisms.
Scaling Develop features for scaling horizontally. Support distributed storage.
User Authentication Implement authentication and authorization mechanisms.
Advanced Query Capabilities Support complex queries, including filtering and ranking.
Hybrid Search Combine vector search with keyword-based search.
Preview 3
Real-time Updates Support real-time vector updates and low-latency queries.
Integration and Interoperability Develop connectors for popular data processing frameworks (e.g., TensorFlow, PyTorch).
Security Implement robust security features, including encryption and access controls.
Performance Monitoring and Analytics Offer tools for monitoring performance and analyzing usage patterns.
Preview 4
Plugins and Integrations Allow community-contributed plugins. Integrate with popular data processing tools. List is TBD