qdrant-minimize-latency

What problem does it solve?

Qdrant single-query latency optimization guidance focused on reducing tail latency and improving response times for real-time search workloads.

Core Features & Use Cases

• Increase segment count to match CPU cores (default_segment_number: 16) to improve per-query latency.
• Keep quantized vectors and HNSW in RAM (always_ram=true) to reduce memory fetch delays.
• Reduce hnsw_ef at query time (trade recall for speed) to lower latency for individual queries.
• Use local NVMe storage to avoid network-attached storage bottlenecks.
• RAM-aware scaling and memory management to prevent cache eviction causing latency spikes.

Quick Start

Tune latency by adjusting the segment count, RAM usage, and query-time parameters on the Qdrant deployment to achieve faster single-query responses.