Work with data
Vector Search
Work with data
Vector Search
We support lightning fast vector search on massive scale data. Following performance data shows search latency from a 1M dataset with warmed up cache.
| Percentile | Latency |
|---|---|
| P50 | 25ms |
| P90 | 26ms |
| P99 | 35ms |
| Max | 49ms |
Other than latency, users can also tune the following parameters for better search quality.
- nprobes: the number of partitions to search (probe)
- refine factor: a multiplier to control how many additional rows are taken during the refine step
- distance range: search for vectors within the distance range
Metadata filtering combined with the vector search is also supported, with as low as 65ms query latency on a 15M dataset. Our benchmark tests have more details.