MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Qdrant-Version-Upgrade

Qdrant-Version-Upgrade是一款data方向的AI技能,核心价值是Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity,可用于解决开发者在data领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.

Last verified on: 2026-05-30
mkdir -p ./skills/qdrant-version-upgrade && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-version-upgrade/SKILL.md -o ./skills/qdrant-version-upgrade/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Qdrant Version Upgrade


Qdrant has the following guarantees about version compatibility:


- Major and minor versions of Qdrant and SDK are expected to match. For example, Qdrant 1.17.x is compatible with SDK 1.17.x.


- Qdrant is tested for backward compatibility between minor versions. For example, Qdrant 1.17.x should be compatible with SDK 1.16.x. Qdrant server 1.16.x is also expected to be compatible with SDK 1.17.x, but only for the subset of features that were available in 1.16.x.


- For migration to the next minor version, it is recommended to first upgrade the SDK to the next minor version and then upgrade the Qdrant server.


- Storage compatibility is only guaranteed for one minor version. For example, data stored with Qdrant 1.16.x is expected to be compatible with Qdrant 1.17.x. If you need to migrate more than one minor version, it is required do the upgrade step by step, one minor version at a time. For example, to migrate from 1.15.x to 1.17.x, you need to first upgrade to 1.16.x and then to 1.17.x. Note: Qdrant Cloud automates this process, so you can directly upgrade from 1.15.x to 1.17.x without intermediate steps.


- A Qdrant cluster with a replication factor of 2 or higher can be upgraded without downtime by performing a rolling upgrade. This means that you can upgrade one node at a time while the other nodes continue to serve requests. This allows you to maintain availability of your application during the upgrade process. More about replication factor: [Replication factor](https://search.qdrant.tech/md/documentation/operations/distributed_deployment/?s=replication-factor)


For managing Qdrant version upgrades in Qdrant Cloud, you can use the [qcloud](https://github.com/qdrant/qcloud-cli) CLI tool.

🎯 Best For

  • UI designers
  • Product designers
  • Claude users
  • GitHub Copilot users
  • Data professionals

💡 Use Cases

  • Generating component mockups
  • Creating design system tokens
  • Data pipeline auditing
  • Query optimization

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Qdrant-Version-Upgrade to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

How do I install Qdrant-Version-Upgrade?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/qdrant-version-upgrade/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping usability testing

AI-generated designs should be validated with real users before development.

Ignoring data quality

AI analysis inherits all data quality issues — profile your data first.

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