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/qdrant-deployment-options

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

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$ npx -y skills add qdrant/skills --skill qdrant-deployment-options --agent claude-code

SKILL.md

qdrant-deployment-options.SKILL.md
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."

Which Qdrant Deployment Do I Need?

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.

Getting Started or Prototyping

Use when: building a prototype, running tests, CI/CD pipelines, or learning Qdrant.

  • Use local mode (Python only): zero-dependency, in-memory or disk-persisted, no server needed [Local mode](https://skills.qdrant.tech/md/documentation/quickstart/)
  • Local mode data format is NOT compatible with server. Do not use for production or benchmarking.
  • For a real server locally, use Docker [Quick start](https://skills.qdrant.tech/md/documentation/quickstart/?s=download-and-run)

Going to Production (Self-Hosted, You Own Ops)

Use when: you need full control over infrastructure or custom configuration, and are prepared to own operations (upgrades, backups, scaling, monitoring) yourself.

  • Docker is the standard self-hosted deployment. Full Qdrant Open Source feature set, minimal setup. [Quick start](https://skills.qdrant.tech/md/documentation/quickstart/?s=download-and-run)
  • You own operations: upgrades, backups, scaling, monitoring
  • Must set up distributed mode manually for multi-node clusters [Distributed deployment](https://skills.qdrant.tech/md/documentation/scaling/distributed_deployment/)
  • Have a data-residency or compliance requirement but don't want to own that ops burden? That combination is Hybrid Cloud (next section), not self-hosted Docker.

Going to Production (Zero-Ops)

Use when: you want managed infrastructure with rolling updates (zero-downtime on multi-node clusters where every collection has a replication factor of 2 or more), 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.

  • Qdrant Cloud handles upgrades, scaling, backups, and monitoring [Qdrant Cloud](https://skills.qdrant.tech/md/documentation/cloud-quickstart/)
  • Chose Qdrant Cloud? See the [Managed Cloud quickstart skill](../qdrant-managed-cloud-quickstart/SKILL.md) to create and connect your first cluster.
  • Hybrid Cloud: the same managed control plane, deployed on your own infrastructure/VPC. Use this when data residency or compliance requirements rule out Qdrant Cloud but you still don't want to operate clusters yourself [Hybrid Cloud](https://skills.qdrant.tech/md/documentation/hybrid-cloud/)
  • Supports multi-version upgrades automatically
  • Provides features not available in self-hosted: `/sys_metrics`, managed resharding, pre-configured alerts

Need Lowest Possible Latency

Use when: network round-trip to a server is unacceptable. Edge devices, in-process search, or latency-critical applications.

  • Qdrant EDGE: in-process bindings to Qdrant shard-level functions, no network overhead [Qdrant EDGE](https://skills.qdrant.tech/md/documentation/edge/edge-quickstart/)
  • Same data format as server. Can sync with server via shard snapshots.
  • Single-node feature set only. No distributed mode.
  • Chose EDGE and want to build on it? See the `qdrant-edge` skill (BM25, snapshot sync, hybrid queries).

What NOT to Do

  • Use local mode for production or benchmarking (not optimized, incompatible data format)
  • Self-host without monitoring and backup strategy (you will lose data or miss outages)
  • Recommend self-managed Docker as the production target when the user says they don't want to operate clusters — that combination needs Qdrant Hybrid Cloud or Qdrant Managed Cloud, not self-hosted
  • Choose EDGE when you need distributed search (single-node only)
  • Pick Hybrid Cloud unless you have data residency requirements (unnecessary Kubernetes complexity when Qdrant Cloud works)
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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

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Questions about qdrant-deployment-options.

Which coding agents can use qdrant-deployment-options?
qdrant-deployment-options installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.