Agent skill · Data & Analytics

qdrant-indexing-performance-optimization

Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing threshold questions arise.

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill indexing-performance-optimization --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/qdrant-performance-optimization/indexing-performance-optimization/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# What to Do When Qdrant Indexing Is Too Slow Qdrant does NOT build HNSW indexes immediately. Small segments use brute-force until they exceed `indexing_threshold_kb` (default: 20 MB). Search during this window is slower by design, not a bug. - Understand the indexing optimizer [Indexing optimizer](https://search.qdrant.tech/md/documentation/operations/optimizer/?s=indexing-optimizer) ## Uploads/Ingestion Too Slow Use when: upload or upsert API calls are slow. Identify bottleneck: client-side (network, batching) vs server-side (CPU, disk I/O) For client-side, optimize batching and parallelism: - Use batch upserts (64-256 points per request) [Points API](https://search.qdrant.tech/md/documentation/manage-data/points/?s=upload-points) - Use 2-4 parallel upload streams For server-side, optimize Qdrant configuration and indexing strategy: - Create more shards (3-12), each shard has an independent update worker [Sharding](https://search.qdrant.tech/md/documentation/operations/distributed_deployment/?s=sharding) - Create payload indexes before HNSW builds (needed for filterable vector index) [Payload index](https://search.qdrant.tech/md/documentation/manage-data/indexing/?s=payload-index

What's inside
Steps it walks through
  1. Uploads/Ingestion Too Slow
  2. Optimizer Stuck or Taking Too Long
  3. HNSW Build Time Too High
  4. HNSW index for multi-tenant collections
  5. Additional Payload Indexes Are Too Slow
  6. What NOT to Do
More from awesome-copilot
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About this skill
What does the qdrant-indexing-performance-optimization skill do?

Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing threshold questions arise.

How do I install it?

Run `npx skills add github/awesome-copilot --skill indexing-performance-optimization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going