cozystack/packages/apps/qdrant

Managed Qdrant Service

Qdrant is a high-performance vector database and similarity search engine designed for AI and machine learning applications. It provides efficient storage and retrieval of high-dimensional vectors with advanced filtering capabilities, making it ideal for recommendation systems, semantic search, and RAG (Retrieval-Augmented Generation) applications.

Deployment Details

Service deploys Qdrant as a StatefulSet with automatic cluster mode when multiple replicas are configured.

• Docs: https://qdrant.tech/documentation/
• GitHub: https://github.com/qdrant/qdrant

Parameters

Common parameters

Name	Description	Type	Value
replicas	Number of Qdrant replicas. Cluster mode is automatically enabled when replicas > 1.	int	1
resources	Explicit CPU and memory configuration for each Qdrant replica. When omitted, the preset defined in resourcesPreset is applied.	object	{}
resources.cpu	CPU available to each replica.	quantity	""
resources.memory	Memory (RAM) available to each replica.	quantity	""
resourcesPreset	Default sizing preset used when resources is omitted.	string	small
size	Persistent Volume Claim size available for vector data storage.	quantity	10Gi
storageClass	StorageClass used to store the data.	string	""
external	Enable external access from outside the cluster.	bool	false

Parameter examples and reference

resources and resourcesPreset

resources sets explicit CPU and memory configurations for each replica. When left empty, the preset defined in resourcesPreset is applied.

resources:
  cpu: 4000m
  memory: 4Gi

resourcesPreset sets named CPU and memory configurations for each replica. This setting is ignored if the corresponding resources value is set.

Preset name	CPU	memory
nano	250m	128Mi
micro	500m	256Mi
small	1	512Mi
medium	1	1Gi
large	2	2Gi
xlarge	4	4Gi
2xlarge	8	8Gi