Individual skill
qdrant-scaling-qps
Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.
skills/qdrant-scaling/scaling-qps/SKILL.md
Source commit edbecfa9099c4addae1f500cca1ac067204b30fd
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 40,891
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- github-copilot Repository topic
- prompt-engineering Repository topic
- hacktoberfest Repository topic
- agent-skills Repository topic
- agents Repository topic
- awesome Repository topic
- custom-agents Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Scaling for Query Throughput (QPS)
Throughput scaling means handling more parallel queries per second.
This is different from latency - throughput and latency are opposite tuning directions and cannot be optimized simultaneously on the same node.
High throughput favors fewer, larger segments so each query touches less overhead.
## Performance Tuning for Higher RPS
- Use fewer, larger segments (`default_segment_number: 2`) [Maximizing throughput](https://search.qdrant.tech/md/documentation/operations/optimize/?s=maximizing-throughput)
- Enable quantization with `always_ram=true` to reduce disk IO [Quantization](https://search.qdrant.tech/md/documentation/manage-data/quantization/)
- Use batch search API to amortize overhead [Batch search](https://search.qdrant.tech/md/documentation/search/search/?s=batch-search-api)
