qdrant-model-migration

Zero-downtime model migration in Qdrant involves applying structured strategies to transition embedding models seamlessly. This process specifically addresses model switching, dimension upgrades, and provider changes without interrupting search availability.

Running multiple embedding models side-by-side in Qdrant enables A/B testing and model co-existence. This allows you to evaluate new embeddings alongside existing vectors before completing a full transition.

Transitioning from dense to hybrid search in Qdrant requires dedicated migration assistance to adjust collection configurations. This guides the integration of sparse vectors and hybrid search parameters into existing collections.

Re-embedding all data when switching Qdrant vector dimensions is often avoidable. The migration process suggests specific strategies to bypass full re-embedding when upgrading dimensions or changing embedding providers.

Performing a Qdrant model migration requires existing knowledge of Qdrant collections and vector fields. This foundational understanding is necessary to properly configure the zero-downtime transition and manage side-by-side model deployments.