qdrant-clients-sdk
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment
$ npx -y skills add qdrant/skills --skill qdrant-deployment-options --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/qdrant-deployment-optionsContext preview
The summary Claude sees to decide when to auto-load this skill.
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment
name: qdrant-deployment-options description: "Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project."
Start with what you need: managed ops or full control? Network latency acceptable or not? Production or prototyping? The answer narrows to one of four options.
Use when: building a prototype, running tests, CI/CD pipelines, or learning Qdrant.
Use when: you need full control over infrastructure or custom configuration, and are prepared to own operations (upgrades, backups, scaling, monitoring) yourself.
Use when: you want managed infrastructure with zero-downtime updates, automatic backups, and resharding without operating clusters yourself — including when data-residency or compliance rules mean the data can't sit on Qdrant-operated infrastructure.
Use when: network round-trip to a server is unacceptable. Edge devices, in-process search, or latency-critical applications.
Agent skills for building with Qdrant vector search Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model
Repo: qdrant/skills
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
Guides building on Qdrant Edge, the embedded in-process shard. Use when someone asks 'how to sync Edge with the server', 'keep a local shard in sync with…
Setting up and running Qdrant Hybrid Cloud on your own Kubernetes cluster (managed, on-prem, or edge): prerequisites, storage/CSI and backups, installing the…
Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks…
Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update…
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer…