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Official agent skill

Qdrant Indexing Performance Optimization

by qdrant in qdrant/skills

Diagnoses and fixes slow Qdrant indexing and data ingestion.

OfficialApache-2.0Auto-check passedDatabases

Install Qdrant Indexing Performance Optimization

skills CLI
$ npx skills add qdrant/skills --skill qdrant-indexing-performance-optimization -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install qdrant/skills qdrant-indexing-performance-optimization --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/qdrant/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/qdrant-performance-optimization/indexing-performance-optimization .claude/skills/qdrant-indexing-performance-optimization && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qdrant-indexing-performance-optimization
GitHub stars
253
Used in
2 other repos
Token cost
~1.2k tokens
SKILL.md length
479 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

Diagnoses and fixes slow Qdrant indexing and data ingestion.

  • Someone reports uploads are slow
  • SKILL.md covers Uploads/Ingestion Too Slow, Optimizer Stuck or Taking Too…, HNSW Build Time Too High and HNSW index for multi-tenant…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Indexing takes forever

What it does

Qdrant Indexing Performance Optimization is an agent skill from qdrant/skills, published by the product's own GitHub organization. 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.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases, covering Vector databases and Performance optimization. It works with Qdrant. The repository describes itself as: Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python…. The licence is Apache-2.0.

When your agent uses it

  • Someone reports uploads are slow
  • Indexing takes forever
  • Optimizer is stuck
  • HNSW build time too long

Example prompts

  • “uploads are slow”
  • “indexing takes forever”
  • “optimizer is stuck”
  • “/qdrant-indexing-performance-optimization”

What it can do on your machine

Read from SKILL.md and the folder at commit 476a18d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skills.qdrant.tech

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Qdrant Indexing Performance Optimization loads about 1.2k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 479 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from qdrant/skills at commit 476a18d, republished under its Apache-2.0 licence (© qdrant). 479 words, ~1,224 tokens.

Download SKILL.mdSave it as .claude/skills/qdrant-indexing-performance-optimization/SKILL.md (or your agent's skills folder).
name
qdrant-indexing-performance-optimization
description
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.

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: 10000 KB, about 10 MB). Search during this window is slower by design, not a bug.

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
  • 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
  • Create payload indexes before HNSW builds (needed for filterable vector index) Payload index

Suitable for initial bulk load of large datasets:

  • Disable HNSW during bulk load (set indexing_threshold_kb very high, restore after) Collection params
  • Setting m=0 to disable HNSW is legacy, use high indexing_threshold_kb instead

Careful, fast unindexed upload might temporarily use more RAM and degrade search performance until optimizer catches up.

See https://skills.qdrant.tech/md/documentation/manage-data/bulk-upload/

Optimizer Stuck or Taking Too Long

Use when: optimizer running for hours, not finishing.

  • Check actual progress via optimizations endpoint (v1.17+) Optimization monitoring
  • Large merges and HNSW rebuilds legitimately take hours on big datasets
  • Check CPU and disk I/O (HNSW is CPU-bound, merging is I/O-bound, HDD is not viable)
  • If optimizer_status shows an error, check logs for disk full or corrupted segments

HNSW Build Time Too High

Use when: HNSW index build dominates total indexing time.

Show full SKILL.md (198 more words)Show less

HNSW index for multi-tenant collections

If you have a multi-tenant use case where all data is split by some payload field (e.g. tenant_id), you can avoid building a global HNSW index and instead rely on payload_m to build HNSW index only for subsets of data. Skipping global HNSW index can significantly reduce indexing time.

See Multi-tenant collections for details.

Additional Payload Indexes Are Too Slow

Qdrant builds extra HNSW links for all payload indexes to ensure that quality of filtered vector search does not degrade. Some payload indexes (e.g. text fields with long texts) can have a very high number of unique values per point, which can lead to long HNSW build time.

You can disable building extra HNSW links for specific payload index and instead rely on slightly slower query-time strategies like ACORN.

Read more about disabling extra HNSW links in documentation

Read more about ACORN in documentation

What NOT to Do

  • Do not create payload indexes AFTER HNSW is built (breaks filterable vector index)
  • Do not use m=0 for bulk uploads into an existing collection, it might drop the existing HNSW and cause long reindexing
  • Do not upload one point at a time (per-request overhead dominates)

© qdrant, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/qdrant-performance-optimization/indexing-performance-optimization of qdrant/skills.

Open the folder on GitHubat commit 476a18d

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in qdrant/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Qdrant Indexing Performance Optimization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Qdrant Indexing Performance Optimization compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Qdrant Indexing Performance Optimization this skillqdrant/skills2532 repos~1.2kAutomated safety check: PassApache-2.0
Qdrant Performance Optimizationgithub/awesome-copilot40k1 repos~461Automated safety check: PassMIT
Qdrant Scalinggithub/awesome-copilot40k1 repos~467Automated safety check: PassMIT
Codebase Explorationgiancarloerra/SocratiCode3.3k1 repos~1.5kAutomated safety check: PassAGPL-3.0
Qdrant Vector SearchOrchestra-Research/AI-Research-SKILLs13k5 repos~3.4kAutomated safety check: PassMIT
Using Vector Databasesancoleman/ai-design-components5261 repos~3.5kAutomated safety check: PassMIT

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Works with

Categories

Questions about Qdrant Indexing Performance Optimization

What does Qdrant Indexing Performance Optimization do?

Diagnoses and fixes slow Qdrant indexing and data ingestion. Qdrant Indexing Performance Optimization is an agent skill from qdrant/skills, published by the product's own GitHub organization. Diagnoses and fixes slow Qdrant indexing and data ingestion.

When should I use Qdrant Indexing Performance Optimization?

Qdrant Indexing Performance Optimization fits situations like: someone reports uploads are slow; indexing takes forever; optimizer is stuck; HNSW build time too long.

How do I install Qdrant Indexing Performance Optimization in Claude Code?

Run `npx skills add qdrant/skills --skill qdrant-indexing-performance-optimization -a claude-code`. Or copy the skill folder (skills/qdrant-performance-optimization/indexing-performance-optimization in qdrant/skills) into .claude/skills/qdrant-indexing-performance-optimization in your project. Claude Code loads it when a task matches its description.

How do I install Qdrant Indexing Performance Optimization in Codex?

Run `npx skills add qdrant/skills --skill qdrant-indexing-performance-optimization -a codex`. Or copy the skill folder (skills/qdrant-performance-optimization/indexing-performance-optimization in qdrant/skills) into .agents/skills/qdrant-indexing-performance-optimization in your project. Codex loads it when a task matches its description.

Can I use Qdrant Indexing Performance Optimization in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qdrant/skills --skill qdrant-indexing-performance-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qdrant-indexing-performance-optimization, .gemini/skills/qdrant-indexing-performance-optimization, .github/skills/qdrant-indexing-performance-optimization and .opencode/skills/qdrant-indexing-performance-optimization in your project.

What does Qdrant Indexing Performance Optimization need to run?

SKILL.md names no scripts, command-line tools or credentials: Qdrant Indexing Performance Optimization is instructions for the agent only.

Does Qdrant Indexing Performance Optimization access the network?

SKILL.md names 1 domain. As links in the text: skills.qdrant.tech. This is read from the text; nothing was executed.

Is Qdrant Indexing Performance Optimization safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Qdrant Indexing Performance Optimization use?

Qdrant Indexing Performance Optimization is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qdrant Indexing Performance Optimization use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Qdrant Indexing Performance Optimization?

Skills that share tags, products or a category with Qdrant Indexing Performance Optimization: Qdrant Performance Optimization (github/awesome-copilot, 40k stars), Qdrant Scaling (github/awesome-copilot, 40k stars), Codebase Exploration (giancarloerra/SocratiCode, 3.3k stars) and Qdrant Vector Search (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qdrant Indexing Performance Optimization?

qdrant (a GitHub organization, an official publisher) maintains it in qdrant/skills, which has 253 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 6, 2026.

Source: qdrant/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.