Qdrant Version Upgrade
QdrantOfficialPublished by Qdrant
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- Data and AI
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured approach to upgrading Qdrant deployments, covering both self-hosted and cloud environments. It outlines compatibility requirements between server and SDK versions, the necessity of step-by-step migrations for multi-version jumps, and best practices for achieving zero-downtime rolling upgrades. The guide emphasizes the importance of pre-upgrade backups, testing in non-production environments, and reviewing release notes to identify potential behavior changes.
What it does
- Defines version compatibility rules between Qdrant server and client SDKs.
- Outlines the procedure for rolling upgrades to maintain service availability.
- Provides a pre-upgrade checklist including backup and resource requirements.
- Explains the step-by-step migration process for jumping multiple minor versions.
- Offers guidance on troubleshooting performance or behavioral changes post-upgrade.
When to use it
- When planning a version upgrade for a self-hosted or cloud-based Qdrant cluster.
- When you need to jump across multiple minor versions safely.
- When you need to perform an upgrade without interrupting application availability.
- When investigating unexpected changes in query results or latency after an update.
Advantages
- Minimizes risk of data loss through recommended backup and snapshot procedures.
- Ensures service continuity by leveraging rolling upgrade strategies.
- Provides clear, version-specific migration paths to prevent compatibility issues.
- Helps maintain optimal performance by highlighting resource requirements during upgrades.
Usage examples
- “How do I upgrade my self-hosted Qdrant cluster from 1.15 to 1.17?”
- The agent will explain that you must perform a step-by-step upgrade, moving to the latest 1.16.x version first, followed by 1.17.x, while ensuring each step is a rolling restart.
- “Can I perform a rolling upgrade on my Qdrant cluster?”
- The agent will confirm that a rolling upgrade is possible if your cluster has a replication factor of 2 or higher, allowing you to update one node at a time.
- “What should I check before upgrading Qdrant?”
- The agent will provide the pre-upgrade checklist, emphasizing the need for backups, testing in non-prod, and reviewing release notes for behavioral changes.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/qdrant/qdrant-version-upgrade/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip qdrant-version-upgrade.zip -d .agents/skills
Documentation by Qdrant
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.
Client SDKs are tested to be backward compatible with the latest 3 minor versions of Qdrant. For example, SDK 1.17.x works with Qdrant 1.15.x to 1.17.x, but only for the features the server version supports Upgrades
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
For managing Qdrant version upgrades in Qdrant Cloud, you can use the qcloud CLI tool.
Pre-Upgrade Checklist
Back up first: It's recommended to take a backup or snapshot before updating to allow for rollbacks. If the upgrade fails or you need to revert, you can restore the pre-upgrade snapshot. Qdrant Cloud applies data migrations during upgrades, so there's no live downgrade. Snapshots Cloud backups
Check release notes for default and behavior changes, not just deprecations. Version upgrades may introduce changes to default settings, validation rules, or query behavior that can affect existing workloads even when APIs remain compatible.
Test your client app against the target server version first in a non-prod environment, and check SDK release notes for deprecated/removed methods before switching over.
It's recommended to run at least 2 CPU cores per node. During upgrades, Qdrant may perform background optimization while still handling regular operations. With only 1 core, these tasks can compete for CPU resources and can significantly slow down the upgrade process.
Use a replication factor of 2 or higher if you need a zero-downtime rolling upgrade. With a replication factor of 1, the upgrade requires a downtime window.
Crossing More Then One Minor Versions
Use when: the running version is two or more minor versions behind the target.
Self-hosted: step through every intermediate minor version, and land on the latest patch of each before moving on. From 1.15 to 1.17, go to the newest 1.16.x first, then 1.17.x. Upgrading Qdrant
Each step is its own rolling restart, so the total is a multiple of a single-version upgrade. This takes longer than a single-version bump, so plan for it and prefer non-peak hours.
Qdrant Cloud chains the intermediate updates for you, so 1.15.x to 1.17.x is a single action. Updating Qdrant Cloud clusters
Upgrade on a regular cadence to keep future jumps to one minor version. Regular upgrades also reduce the complexity of future migrations by avoiding large version jumps.
Troubleshooting Behavior Changes After an Upgrade
Use when: results, scores, or latency look different once the new version is live.
When investigating a bug or unexpected behavior after an upgrade, check the release notes/changelog between the source and target versions for deprecations, default-value changes, and behavior changes that may affect your workload.
Compare relative ranking and recall against your pre-upgrade baseline, not absolute score values. Scoring internals can change between versions and still be correct.
What NOT to Do
Treat identical absolute scores as an acceptance criterion across versions
Read only the target version's notes and skip intermediate minor and patch releases
Jump multiple minor versions at once on self-hosted deployments
Assume a rolling upgrade finished without confirming that every node reports the target version
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Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
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Attribution and licence
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- qdrant/skills · skills/qdrant-version-upgrade · commit 9f55f6a
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