qdrant-deployment-options
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
- 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
Going to Production (Self-Hosted)
Use when: you need full control over infrastructure, data residency, or custom configuration.
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Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
683qdrant-model-migration
Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dimensions, switching providers, or A/B testing models.
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