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HelixDB

Rust-built native graph-vector database combining vector similarity search and graph traversals. 10x faster development with unified architecture, sub-1ms queries.

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HelixDB is a groundbreaking native graph-vector database that eliminates the need for multiple databases by unifying vector similarity search and graph traversal operations in a single, high-performance engine. Built in Rust and backed by Y Combinator and NVIDIA, it's specifically designed for AI agents, RAG systems, and applications requiring advanced contextual retrieval.

Key performance advantages:

  • Vector similarity search: ~2ms average response time
  • Graph traversals: Sub-1ms execution speed
  • Cost reduction: Up to 50% lower operational costs by eliminating architectural complexity
  • Type-safe queries: Advanced static analysis with real-time feedback and autocomplete

Developer-friendly features:

  • Simple CLI installation with curl -sSL "https://install.helix-db.com" | bash
  • Hybrid query traversals combining vector and graph operations seamlessly
  • Comprehensive SDKs and extensive documentation
  • Local deployment or managed cloud service options

Enterprise support includes:

  • 24/7 expert monitoring and support
  • Enterprise-grade security and compliance
  • Automatic scaling for traffic spikes
  • 99.99% uptime guarantee

Perfect for teams building next-generation AI applications who want to reduce database complexity while achieving industry-leading performance. The growing developer community and active support channels make it easy to get started and scale efficiently.

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