Vector Databases & AI RAG Pipelines

Accelerate retrieval-augmented generation with zero-copy graph traversal.

Disk-ANN Graph Traversals

To reduce massive RAM costs, databases store the bulk of the vector graph on NVMe SSDs.

The Random Read Bottleneck

Navigating the graph requires aggressive, highly concurrent random read operations. Relying on standard kernel I/O heavily bounds the maximum throughput of these databases, frequently capping out at a fraction of the hardware's capability. An interception shim allows these continuous pointer-chasing reads to bypass the kernel entirely, allowing RAG pipelines to achieve rapid retrieval latencies at a fraction of the hardware cost.