qdrant-scaling-query-volume
CommunityScale Qdrant queries with minimal data transfer.
Authorlucifertrj
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Qdrant scales query volume across shards by applying a per-shard sub-sampling scheme and merging results, dramatically reducing inter-shard data transfer for large-limit queries.
Core Features & Use Cases
- Per-shard sub-sampling: Ask each shard for a smaller limit and merge results to achieve the requested total limit while minimizing data transfer.
- Safe distribution assumption: Leverages auto-sharding with random, independent data distribution to keep results representative with high probability.
- Use Case: Large-limit vector queries across many shards where exact results are not strictly required, improving latency and throughput.
Quick Start
Run the AI-assisted strategy to apply Poisson-based sub-sampling when querying across auto-sharded Qdrant collections to reduce data transfer.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: qdrant-scaling-query-volume Download link: https://github.com/lucifertrj/skills-based-app/archive/main.zip#qdrant-scaling-query-volume Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.